Project Program
Join a project off professors and scientists
working at top 20 QS-ranked institutions
20x
Better College & Job acceptance
subjects expertise
2000+
50000+
students in community
AVAILABLE OPPORTUNITIES
Pramit Saha
Researcher at Oxford University
Topic: AI - ML -DL
Period: 1.5 Months
Pramit Saha is a doctoral researcher at the University of Oxford, focusing on deep learning, computer vision, and medical image analysis. His work involves self-supervised and federated learning methods to advance AI applications in healthcare. He has an MASc from the University of British Columbia.
Amparo Guemes Gonzale
Researcher at Royal Academy of Engineering
Topic: Biomedical Engineering,
Biomechanics,
Period: 1.5 Months
Amparo Guemes Gonzalez is a professor and expert in bioethics and healthcare policy. Her work focuses on ethical decision-making in medicine and public health.
Kaleem Kamboj
Professor at The New Parson School
Topic: business design, entrepreneurship, management, marketing,
social media
Period: 1.5 Months
Kaleem Kamboj is an entrepreneur and educator with a robust background in business design, entrepreneurship, management, marketing, and social media. He serves as a professor at Parsons School of Design, part of The New School in New York City.
N Badillo
Researcher
Topic: Architectural Drafting on Paper I
Period: 1.5 Months
I am an artist, and an author. My dissertation was on the Italian architect Guarino Guarini. I am humbled by the people of our world, and the civilizations with inhabit, and I love learning as well as teaching. My latest publication is a catalogue of works on paper called “Antiperestroika: Works on Paper During the War in Ukraine.
Soroush Saghafian
Associate Professor, Harvard University’s John F. Kennedy School of Government
Topic: operations research
& decision science
Period: 1.5 Months
Soroush Saghafian is an Associate Professor at Harvard University’s John F. Kennedy School of Government. He specializes in operations research, data analytics, and decision science, focusing on improving complex systems, particularly in healthcare. His research integrates machine learning, optimization, and policy analysis to enhance decision-making for hospitals, policymakers, and businesses. He collaborates with institutions like the Mayo Clinic and Harvard Medical School. Saghafian has received multiple awards for his work and serves as an advisor to government agencies and private organizations on data-driven strategies.
Fahd Saifuddin
Visiting Professor, Curtin University
Topic: Web3 adoption, blockchain
education, and decentralized
technology development
Period: 1.5 Months
I’m passionate about onboarding people to Web3 and blockchain, making complex concepts simple and accessible. With a background in software engineering and decentralized technologies, I enjoy guiding others into the space, fostering adoption, and empowering users to explore the future of the internet through education, tools, and hands-on support.
Pankaj Mehrotra
Instructor, University of the People
Topic: biology education,
microbiology, and health sciences
Period: 1.5 Months
I have PhD, MS, BS & MSEd in Science and Science Education with experience in teaching, learning, assessment, research, mentoring, publication, policy and diplomacy. I have taught teachers, undergraduate and postgraduates.
Erfan Darzi
Reasearcher, Harvard Medical School
Topic: Machine learning, Artificial Intelligence, Applied ML
Period: 1.5 Months
Erfan Darzi is a Research Fellow at Harvard Medical School with expertise spanning Artificial Intelligence, Generative AI, and applied computer science research. He has multiple publications, technical contributions, and other research outputs that have shaped the field. His work helps drive the next generation of intelligent systems and methodologies. Notable publications include "Federated Learning in Medical Imaging: Part II: Methods, Challenges, and Considerations," which has been cited 84 times, and "Federated Learning in Medical Imaging: Part I: Toward Multicentral Health Care Ecosystems," with 69 citations respectively.
Philip Allmendinger
Pro Vice Chancellor, University of London
Topic: Planning Theory & Regional Development
Period: 1.5 Months
Phil Allmendinger has published extensively in the areas of property and planning, planning theory, policy and practice, land and property regulation, housing and local government. His research thus spans across several of the Department‘s interests, especially in planning, property and housing. Professor Allmendinger is a chartered planner and surveyor. He initially trained as a spatial planner and has also worked in local government. He is a member of the Economic and Social Research Council Research Grants Board and a member of the Communities and Local Government Housing Markets and Planning Expert Panel.
Hoa Tran
Professor, New York University
Topic: LLMs and RAG for Enterprises
Period: 1.5 Months
A Data Science Expert and NYU professor in AI, Machine Learning, Deep Learning, Computer Vision, Robotics, Information Security, NLP, AI Agent and LLM/RAG/GenAI. Founded and successfully built two AI/software companies. Lead and provided business strategies and technical directions to build many multi-million dollar AI products in Health Care, Business, Marketing and Transportation. Successfully provided mentorship and supervisions to senior Individual Contributors working on industrial advanced AI/Machine Learning projects. Have researched and been an expert in Stochastic Risk/Insurance Risk Analysis.
Mahdi Hasani
Assistant Research Professor, Cornell University
Topic: Advanced Polymeric Biomaterials for Immune Modulation
Period: 1.5 Months
Dr. Mahdi Hasani joined the Cornell MAE faculty in July 2024. Prior to his appointment at Cornell, he was a Project Scientist and Faculty Innovation Fellow at UCLA, where his research focused on developing polymeric biomaterials for immunoengineering and regenerative medicine. His work at UCLA resulted in over 12 U.S. patents, several of which are licensed. Dr. Hasani is a co-founder and board member of three biotech and biopharma startups and has served as a guest lecturer at UCLA. Dr. Hasani moved to UCLA from Georgia Tech, where he received his Ph.D. in Mechanical Engineering-Bioengineering. During his Ph.D., he developed new microfluidics techniques for the precise fabrication of cancer therapeutic nanoparticles. He holds two B.Sc., two M.Sc., and two doctorate degrees, one in polymer engineering and the other in bioengineering, where he gained expertise in areas ranging from designing next-generation polymer electrolyte fuel cells to dental biomaterials and cancer vaccines.
Sergei Chernyshenko
Professor, Imperial College London
Topic: Fluid-Structure Interaction in
Aerostatic Platforms
Period: 1.5 Months
Sergei Chernyshenko is a Professor of Aerodynamics in the Department of Aeronautics at Imperial College London. His long-term research aims at most challenging problems in fluid mechanics, and his short studies are of a wide scope involving practical applications. In particular, long-term undertakings include the central problem of turbulence, which he currently attacks using the latest advances in semi-algebraic geometry and polynomial optimization. Another long-term research area is the theory of organized structures, scale interaction, and drag reduction in turbulent flows. Prof. Chernyshenko made a major contribution to the high-Reynolds number asymptotic theory of separated flows. Areas of short-term studies are exemplified by hydraulically-driven centrifuges, aerostatic platforms, rotating stall in axial compressors, and heat and mass transfer in supersonic separated flows. Sergei is passionate about passing on knowledge to those who seek it. In2008-2024 he served as the Director of MSc in Advanced Computational Methods. He developed and supports a Flow Illustrator web server aimed at a wide audience interested in fluid dynamics. Research interests: fluid dynamics. Go to the dedicated research website for more. Education and degrees, all from the Mechanics and Mathematics department of the Moscow State University: Diploma of Mechanic (5-year taught course) 1977, PhD (Kandidat Fiziko-Matematicheskikh Nauk) 1983, DSc (Doktor Fiziko-Matematicheskikh Nauk, which is a Russian professorial-level degree) 1995. Work: major previous: 1980-2000, Institute of Mechanics of the Moscow State University. Last position held: Leading Researcher. 2000-2007 School of Engineering Sciences, University of Southampton, Professor. 2007-now, Department of Aeronautics, Imperial College London, Professor.
Weimin Huang
Professor, Memorial University of Newfoundland
Topic: Adaptive Smart Materials with Shape Memory and Bistability
Period: 1.5 Months
Dr. Weimin Huang received his B.Sc. and M.Sc. in Radio Physics and a Ph.D. in Space Physics from Wuhan University, followed by an M.Eng. and post-doctoral fellowship in Electrical and Computer Engineering at Memorial University of Newfoundland (MUN). He worked as a Design Engineer at Rutter Technologies (2008–2010) and has been with MUN’s Faculty of Engineering since 2010, becoming a Full Professor in 2019 and serving as Deputy Head (2020–2023). Dr. Huang’s research focuses on ocean surface mapping using HF radar, GNSS, SAR, X-band marine radar, digital image processing, and applied electromagnetics. He has authored over 300 refereed publications and edited the book Ocean Remote Sensing Technologies. He is a recipient of several awards, including NSERC’s Discovery Accelerator Supplement (2017) and the IEEE GRSS Letters Prize Paper Award (2019). An IEEE Oceanic Engineering Society Distinguished Lecturer, Dr. Huang has served as Associate Editor or Guest Editor for eight IEEE journals and was Co-Chair of NSERC’s ECE Evaluation Group (2018–2021). He has reviewed for over 130 international journals and numerous IEEE conferences, and is currently General Co-Chair and Technical Program Co-Chair of leading IEEE symposia.
Terence K.S. Wong
Associate Professor, Nanyang Technological University Singapore
Topic: Urban Air Quality Analysis and Prediction Using Data Science
Period: 1.5 Months
Dr. Terence Wong (SMIEEE) is a tenured associate professor of electrical and electronic engineering. He had been with the microelectronics division of EEE NTU since 1994. He had worked on a variety of research projects in semiconductor materials and devices (see specialties). In recent years, his research focus has shifted to photovoltaics and energy storage devices. He has taught both undergraduate and graduate courses in microelectronics and is an adjunct lecturer at the GIST (German Institute of Science and Technology, Technical university of Munich). He also consult occasionally for industry on problems related to his research expertise. Dr. Wong is the author and co-author of 65 journal papers and 60 international conference presentations. He has contributed to one book chapter on electrophosphorescent OLEDs and one on X-ray scattering analysis of semiconductors. He is the author of a new e-book called 'Semiconductor strain metrology: principles and applications", Bentham Science (2012). This e-book is accessible at :http://benthamscience.com/ebooks/9781608053599/index.html Specialties: Nanofabrication, Semiconductor metrology, III-V/Ge interfaces, strained silicon CMOS devices, On-chip interconnects, Organic optoelectronics (OLED and OPV)
Why we are better?
Best Mentor Portfolio
Wider subject expertise
6x more Affordable
Why we are so
Affordable?
We are a platform For the students and by the students. We have kept our margins to be as low as possible.
O U R S T U D E N T S :
Classroom Experience
About Educator
I have spent over 25 years in the leveraged finance and private equity industries. I currently run a financial services advisory firm and teach various Finance/PE courses at Harvard University. Prior to launching Quansoo Partners, I was MD, Head of Credit Research at The Blackstone Group. Prior to Blackstone I spent 10 years in distressed and HY credit investing at Mariner Group and Pequot Capital Management. Prior to joining the buyside, I worked as a Lev Fin/PE banker at Morgan Stanley and JP Morgan.
Benefits for you?
1-on-1 Supervision under a renowned
Professor or Scientist
Project Certificate
Project publication opportunity
(Not compulsory)
Networking & Mentorship opportunities
Global Exposure
Performance Letter by the Educator
INTERNATIONAL & NATIONAL JOURNALS IN COLLAB
