Applied Research Innovations in Science and Engineering (ARISE) | NYU Tandon School of Engineering

Applied Research Innovations in Science and Engineering (ARISE)

STEM Research Opportunity for 10th and 11th Graders

students working in a lab


ARISE will be offered in-person for summer 2022. We will remain flexible in our response to developments related to COVID-19 and plans can of course change. The health and safety of students, faculty, staff, and our visitors is NYU's first priority, and you can read about the University's responses and reopening. If we are unable to conduct this program on campus as planned, changes to program format will be communicated promptly.


Applications for Summer 2022 are now open!

The NYU Tandon School of Engineering’s Applied Research Innovations in Science and Engineering (ARISE) program has graduated over 300 high school students. This free program is for academically motivated, current 10th and 11th grade New York City students with a demonstrated interest in science, technology, engineering, and math (STEM). Download the ARISE 2022 Overview here.

This seven-week program includes: a high level, 5-week authentic research experience in participating NYU faculty labs, mentoring in that placement by a graduate or postdoctoral student, a stipend of at least $750 for completing the program, as well as two weeks of workshops, college advisement and other activities geared to preparing ARISE students for the college application process.  In the workshops, students will be introduced to the field of scientific ethics, contemporary issues in scientific inquiry, data collection and analysis, research practices, lab safety, and more.

With their mentors, ARISE participants will spend the latter five weeks of the program in their labs where they will make practical, substantive contributions to the lab’s research objectives, which span engineering, life sciences, and computer and data sciences. Check out the Research Opportunities section to learn more about the research going on in the 32 ARISE labs and the professors who oversee the work.

ARISE student being interviewed in a lab

Students will also receive training in presentation and public speaking skills, in collaboration with ARISE’s partners at Irondale Ensemble Project, and give their research findings at the program’s concluding colloquium (archival page) to NYU faculty and graduate students, their peer ARISE participants, other academic experts, family members and friends.

two ARISE students giving a presentation

Through a grant from the Pinkerton Foundation, with additional support from the Depository Trust and Clearing Corporation (DTCC), ARISE is intended to provide an advanced STEM (Science, Technology, Engineering and Math) research opportunity to New York City students lacking access to high quality STEM education experiences. Students from demographic groups underrepresented in STEM disciplines and careers, including women, students of color and those from low–income backgrounds are strongly encouraged to apply. NYU Tandon‘s ARISE program is a partner of the New York City Science Research Mentoring Consortium, a group of NYC academic, research and cultural institutions providing NYC high school students with mentored, authentic research experiences in STEM.

Research Opportunities

Please note: if you submit an application it is to the ARISE program, NOT to a specific lab. Applicants express interest in a general area of research (noted on each lab's entry below).  Those students that move through the process after applying, will have the opportunity to focus on placements in a specific set of labs. However, even if you are accepted, students are not guaranteed a placement in their first-choice lab.

The following are some of the NYU labs that participate in ARISE, organized by academic department. More labs may be added in the future.

Subject Areas

Evolutionary Morphology Lab
Area of STEM Research: Life Sciences

student working with a computer and bones on a desk

Dr. Scott Williams’ Evolutionary Morphology Lab in the Department of Anthropology at NYU focuses on lvisualization and quantification of bony morphology. In particular, Dr. Williams and his students study the skeletons of living primates in order to understand how fossil primates behaved and interacted with their environments. We use laser surface and computed tomography scanning technologies as well as traditional morphometric techniques to measure bones and fossils and compare them to known animals. Our focus is on human evolution, so much of what we dedicate our studies to are the fossilized remains of hominins—members of the human lineage that are now extinct—along with modern humans and living apes, including gibbons, orangutans, gorillas, and chimpanzees. Lab members have been involved in the study of two newly discovered species of early hominin, Australopithecus sediba and Homo naledi.


Primate Hormones and Behavior (PHaB) Lab
Area of STEM Research: Life Sciences

students working in a lab

Dr. James Higham‘s Primate Hormones and Behavior (PHaB) Lab, an enzyme immuno-assay laboratory, measures primate hormonal and immunological analytes, often measured as metabolites from excreta (feces and urine). The lab’s overall goal is to study genetical, morphological, physiological and behavioral aspects of primate reproductive strategies as shaped by sexual selection. Following Darwin, the research is structured around two related processes: the ways in which individuals compete with members of the same sex both directly and indirectly over reproductive opportunities (intra-sexual selection); and the ways in which individuals attract members of the opposite sex (inter-sexual selection). The methods used in the lab include techniques from ethology, physical anthropology, evolutionary biology, computer vision and machine learning, experimental and comparative psychology, endocrinology and immunology, and quantitative and functional genetics.

Developmental Genomics Lab
Area of STEM Research: Life Sciences

students working in a lab referencing a textbook

Dr. Christine Rushlow’s Developmental Genomics Lab studies how an organism develops from a fertilized egg into an adult. We use the fruit fly, Drosophila melanogaster, as a model system because flies have a short generation time, they are easy to keep in bottles in the lab, and we can do many types of experiments with them. We study mutant flies to figure out how fly embryos develop. For example, some mutants do not form nervous systems, and thus they cannot move or eat, and they die. We ask questions like – what went wrong in that mutant during its development to give such a dramatic defect? We identify the mutant gene responsible for the defect, and then study how the gene normally works during development. We study the protein the gene makes, where is it active, and how it interacts with other proteins to produce a nervous system with the right number of nerves in the right place. Currently we are working on a gene called Zelda, which is a master regulator of genes necessary for many different processes in the young embryo, including nervous system development. Our goal is to identify all the genes Zelda regulates, and determine how they work together in a network to make an embryo with all its proper structures. ARISE students will perform many different techniques including how to synthesize RNA from DNA, prepare fly embryos for hybridization experiments, and examine embryos under the microscope. Students will learn how to analyze and interpret data, and how to assemble their data into a report.


Chromosome Inheritance Lab
Area of STEM Research: Life Sciences

students working in a lab

Dr. Andreas Hochwagen’s research aims to discover the genetic pathways that enable sexually reproducing organisms to pass their genes on to the next generation. This research is performed in the single-celled baker’s yeast to take advantage of the fast growth and comparatively simple genome organization of this organism. Students will gain exposure to state-of-the-art methods of genetics research and will learn to perform fluorescence microscopy of chromosomes.


Molecular and Cellular Biology Lab
Area of STEM Research: Life Sciences

student working in a lab

Dr. Fei Li and his colleagues are interested in epigenetics, a field studying heritable changes in phenotype that occur without changes in DNA sequence. Epigenetic information, stored in the form of histone modifications and DNA methylation, constitute a second layer of regulatory information important for many cellular processes, such as gene expression regulation, chromatin organization, and genome stability. We are particularly focusing on epigenetic regulation of heterochromatin and centromere in the model eukaryotic organism fission yeast (Schizosaccharomyces pombe). We take advantage of powerful experimental approaches available in fission yeast, including genetics, cell biology, biochemistry and genomics, to understand the fundamental principles of epigenetic regulation.


Chromatin Genomics Lab
Area of STEM Research: Life Sciences

students working in a lab

In humans and other eukaryotes, genomic DNA is tightly packaged to fit inside a small nucleus. This packaging is accomplished by a set of evolutionarily conserved proteins that bind to and form a protein-DNA structure called chromatin. Dr. Sevinc Ercan’s lab studies how chromatin structure regulates gene expression. They focus on a particular family of protein complexes called condensins, which are essential for chromosome condensation in all species examined so far. To understand condensin mechanisms, Ercan lab primarily uses C. elegans, a small nematode worm as an experimental model. Students will be integrated into an ongoing project in the lab, which typically involves molecular cloning, genetics and genome editing in C. elegans.




Applied Micro-Bioengineering Lab

students in a lab

Dr. Weiqiang Chen’s Applied Micro-Bioengineering Lab focuses on development of innovative micro/nanoscale technologies and integrated biosystems targeting important emerging areas of research at the forefront of engineering and medicine. Specific examples include engineering microfluidic lab-on-a-chip systems for single-cell sensing and immune engineering, biomanufacturing organotypic organ-on-a-chip systems for cancer diagnosis and modeling, as well as biomaterials for tissue engineering and stem cell-based regenerative medicine. These novel micro/nanoengineered biomaterials and biosystems will not only permit advances in engineering but also greatly contribute to improving human health.

Protein Engineering & Molecular Design Lab
Areas of STEM Research: Life Sciences / Engineering

students and faculty observing proteins

Dr. Jin Montclare’s Protein Engineering and Molecular Lab exploits nature’s biosynthetic machinery and evolutionary mechanisms to design new biomaterials and functional proteins. Organophosphates (OPs) are widely adopted in agriculture and military industries. However, due to their effect on the environment and public health, the disposal and management of OPs represents a significant challenge. Phosphotriesterase (PTE) enzymes from multiple organisms have been identified and employed as biocatalytic scavengers and deactivators of OPs that perform optimally under physiological temperatures and conditions. We are re-engineering PTEs to improve their stability and extend their half-life to facilitate their use in the field.


Biomolecular Engineering Lab
Areas of STEM Research: Life Sciences / Engineering

student holding a beaker

The goal of research in Dr. Jin Ryoun Kim’s group is engineering of proteins to solve modern scientific and engineering problems related to protein stability, misfolding, aggregation, and self-assembly. Students will have research opportunities to study proteins with specific focuses on (1) understanding and modulation of protein aggregation implicated in amyloid diseases, such as Alzheimer’s and Parkinson’s diseases, and/or (2) stabilization of biocatalytic enzymes for industrial applications.


Bio-interfacial Engineering and Diagnostics Group
Areas of STEM Research: Life Sciences / Engineering

students and faculty in a lab

Dr. Rastislav Levicky’s Bio-interfacial Engineering and Diagnostics Group studies biological interactions. Biomolecular interactions are highly challenging to detect, yet are crucially important for identifying toxicity, medical usefulness, origins of biological material such as from viruses or harmful bacteria, and understanding how the subroutines encoded in DNA get translated to the functioning of living cells. Research in the Levicky group develops devices to measure these interactions. Potential applications range from identification of contaminants in water and food to medical treatments tailored to a patient’s genetic uniqueness, and to discovery of molecular mechanisms behind diseases such as cancer. Students will learn how to track behavior of biologically-important molecules, perform computer-based analysis of data, work to develop better hardware to analyze molecules inside of very small nanoliter volumes, and more.


Hartman Lab
Areas of STEM Research: Engineering

students looking at a computer screen

Dr. Ryan Hartman’s laboratory investigates flow chemistry with microsystems using catalysis and reaction engineering principles.  Our contributions impact the design of processes and systems, ranging from the molecular-to-the-macro- length scales.  Continuous-flow manufacturing, flow chemistry, microchemical systems, and molecular management are major themes of our laboratory.  Applied mathematics are essential in each area in order to derive predictive models that impact society.  The ARISE program provides K-12 students the opportunity to engage in research related to the above-mentioned themes.


Multifunctional Material Systems Laboratory
Area of STEM Research: Engineering

students posing in a lab

Dr. Miguel Modestino’s  Multifunctional Material Systems Laboratory investigates materials that use renewable energy sources such as wind and solar to drive chemical reactions. These types of materials are often found in widely used energy storage and conversion technologies such as batteries and fuel cells. Students involved in projects will be exposed to cutting-edge energy research tools, will be able to design and develop new prototypes of energy reactors using 3D printers, and will learned how chemical engineers can accelerate the transition towards a clean-energy world.


Nanostructured Hybrid Materials
Area of STEM Research: Engineering

students in a lab learning about nano materials

Dr. Ayaskanta Sahu’s laboratory focus on designing materials at the nanoscale with dimensions that range from a few nanometers to tens of nanometers. To put these numbers into perspective, a typical nanocrystal will be around 10,000 times smaller than the diameter of human hair. While nanometer-sized chips are ubiquitous in the semiconductor industry, our lab is focused on expanding the application of these tiny nanocrystals in fields such as lighting (LEDs), solar cells and thermoelectrics. Thermoelectrics are electronic devices that can convert waste heat into electricity. With about 60% of all usable power lost as waste heat, thermoelectrics have the potential to radically modify the current clean energy landscape. Students working in our lab will have hands-on research experience of synthesizing these nanomaterials and assembling them into working devices while learning basic concepts of chemistry, physics, materials science and engineering.


Transformative Materials and Devices (TMD) Laboratory

Area of STEM Research: Engineering

student working in chemistry lab

Prof. André D Taylor’s group focuses on the development of novel materials and devices for energy conversion and storage. True to their name, the group designs and studies transformative technologies that have the ability to change the status quo and promote the adoption of sustainable energy generation and use. In particular, they study next-generation lithium-ion batteries, solar cells made from easily-processed materials, along with fuel cells, devices which produce energy from combining hydrogen and oxygen into water. 


Soil Mechanics Lab 
Area of STEM Research: Engineering

students conducting experiments in a lab

Dr. Magued Iskander’s Soil Mechanics Lab will engage students in research on modeling soil structure-interaction using transparent soils, lasers, and digital image correlation. This research will expose students to the state of the art experimental methods used in civil engineering as well as to the advanced analytical methods that are employed for image analysis.


Urban Modeling Group Lab
Area of STEM Research: Computer and Data Science/Engineering

a black and white layout of an urban map

Dr. Debra Laefer’s Urban Modeling Group focuses on the data-driven study of the urban environment anchored in high-resolution aerial laser scanning data. Students will be engaged in the development of tools to integrate and leverage the wealth of urban data currently available and/or emerging for urban research. Potential application areas include: urban accessibility, municipal service delivery, air quality, pedestrian wind comfort, public space maintenance, and heritage conservation, as well a tool development for the visualization and exploration of such datasets.


Future Building Informatics and Visualization Lab (biLAB)
Area of STEM Research: Computer and Data Science/Engineering

students holding up biLab devices

Dr. Semiha Ergan’s Future Building Informatics and Visualization Lab (biLAB) is part of the Department of Civil and Urban Engineering at the NYU Tandon School of Engineering. It focuses on understanding the operational challenges associated with construction and operation of facilities and infrastructure systems in urban settings.

The research team works on information modeling and visualization to quantify the impact of architecture on human experience in the built environment, understand and improve the behaviors of existing/new facilities and civil infrastructure systems for next-generation maintenance and operations. The research team takes advantage of advancements in technology in information modeling and visualization to integrate and provide information that engineers, owners, and facility operators need, at the right level of detail and visual form.


Behavioral Urban Informatics, Logistics, and Transport (BUILT) Lab
Area of STEM Research: Computer and Data Science/Engineering

group standing in front of a screen displaying map data

Dr. Joseph Chow’s Behavioral Urban Informatics, Logistics, and Transport (BUILT) lab is looking to involve students in research in transportation systems and urban mobility. Students will be exposed to computational models to evaluate networks of transportation infrastructure, routing and pricing algorithms of transportation agencies and private service operators (e.g. Uber, Lyft), and simulations of traffic and transit operations under large-scale incident scenarios. Students will help test and integrate newly acquired state of the art equipment for the C2SMART Center – tablets, wearable sensors, instrumented vehicles, commercial drones, VR devices, and GIS-based video wall interfaces.


Urban Mobility and Intelligent Transportation Systems (UrbanMITS) Laboratory
Area of STEM Research: Computer and Data Science/Engineering

students at work at a laptop

The UrbanMITS Lab led by Dr. Kaan Ozbay is a multi-modal transportation infrastructure research and education facility combining a series of new concepts, technologies, and services to integrate information, vehicles, and transportation infrastructure to increase mobility, safety and comfort, and reduce energy waste and pollution. Students will be engaged in activities ranging from data analysis, coding, and modeling to building and testing sensors and equipment on projects ranging from traffic and pedestrian simulations to emergency evacuations and traveler safety. All of the work conducted in the UrbanMITS lab uses real-world data and the solutions found will be used for real-world implementation by agencies and policy-makers.


Environmental Engineering and Water Treatment Laboratory 

Area of STEM Research: Engineering and Life Sciences 

Diagram of water bacteria and sunlight

Dr. Andrea Silverman's environmental engineering laboratory conducts research to better understand and design sustainable wastewater treatment systems. FloodSense: of the many impacts that are predicted to accompany climate change, flooding is expected to have an outsized influence on public health, infrastructure, and mobility in urban areas. Sea level rise and an increase in the occurrence of high-intensity rainstorms can lead to a dramatic increase in flood risk, particularly in low-lying and coastal neighborhoods. There is anecdotal evidence of an increased occurrence of street-level flooding in New York City, however, there is no systematic collection of data that can be used to document floods or design mitigation strategies. Therefore, the goal of the FloodSense project is to develop and deploy low-cost sensors to measure hyperlocal urban flooding. Students will be involved in sensor design, building of sensors, and analysis of sensor data.

Responsible Data Science Lab

Area of STEM Research: Computer and Data Science/ Engineering

labeled research

Members of Professor Julia Stoyanovich's Responsible Data Science Lab, part of the Visualization and Data Analytics Research Center at NYU, work on incorporating ethical norms and legal requirements into all stages of the data science lifecycle.  Ongoing projects include developing ranking methods that produce fair, diverse, and stable results; explaining data and models with "nutritional labels"; negotiating the privacy / transparency interface with the help of privacy-preserving synthetic data generation mechanisms; and helping determine winners in elections in cases where votes are incomplete or uncertain. Students working in the lab will help develop tools and collect data related to our current projects.



Privacy and Security Automation Lab (PSAL)

Area of STEM Research: Computer and Data Science/ Engineering

members of the lab

Professor Rachel Greenstadt's Privacy and Security Automation Lab (PSAL) conducts research at the intersection of the privacy and security domains with machine learning. Research topics include detecting the author of given samples of source code or binary files. In order to accomplish this goal, a list of candidate authors is used to train the machine learning algorithm. Based on their interests and preferences, ARISE students will collect datasets, and later analyze them to extract useful features. Other topics of PSAL research include understanding Tor users behavior on Wikipedia edits, and analyzing the privacy concerns of systems that detect mental illness of Twitter Users. 


Chunara Lab

Area of STEM Research: Computer Science/ Engineering

A dashboard illustrating physical activity tracker data across New York City. We crowdsource such data and then use it to answer relevant public health questions.Professor Rumi Chunara's laboratory works on population-level public health problems by using Internet and mobile data sources that capture aspects of our every-day lives. This includes data such as from social media, wearables, text messaging, smartphone reports and satellite imagery. Our research involves natural language processing, machine learning and deep learning to identify relevant features from such data, and then incorporating them into statistical models of disease over space and time. We work on many types of public health issues including predicting infectious disease events and measuring social and other risk factors that can also affect our health, like substance or even discrimination. 


Visualization and Data Analytics Research Center

Area of STEM Research: Computer and Data Science/ Engineering

a 3d model of a New York City neighborhood

The NYU Visualization, Data Analysis and Imaging Research Center, co-led by Professor Juliana Freire and Professor Claudio Silva, brings together an interdisciplinary group of computer scientists who work closely with domain experts to address real, societally important problems. We develop methods and systems that enable a wide range of users to obtain trustworthy insights from data. This spans topics in large-scale data analysis and integration, visualization, machine learning, provenance management, and web information discovery, and different application areas, including urban analytics, sports analytics, predictive modeling, and computational reproducibility. Ongoing projects include the development of methods to support data discovery and dataset search, analytics to empower experts to explore complex relationships between spatio-temporal datasets, development of new techniques (including hardware) for sports data acquisition, analysis and visualization of sports data (including e-sports), and automated model discovery systems that enable users with subject matter expertise but no data science background to create effective machine models. ARISE students working at the lab will do research related to these projects based on their preferences and interests.


Machine Learning for Good Laboratory (ML4G)

diagram of machine learning for good's research topics

Area of STEM Research: Computer and Data Science/ Engineering


NYU's Machine Learning for Good Laboratory, directed by Prof. Daniel B. Neill, is focused on developing new machine learning methods and applying them for social good.  For example, we have developed methods to detect emerging disease outbreaks earlier and more accurately, to target public health interventions more effectively and more equitably in response to the opioid overdose crisis, and to improve the fairness of prosecutorial decisions in criminal justice.  ARISE students working with the ML4G Lab will join our NSF-funded Fairness in Artificial Intelligence project, which focuses on assessing and improving fairness in decision making (including decisions made by humans, by machines, and the two working together), together with public-sector collaborators in the criminal justice, housing, and health domains.  Specific tools to be developed, and application areas, can be determined based on student preferences and project needs.    


Center for Advanced Technology in Telecommunications & Distributed Information Systems (CATT)
Areas of STEM Research: Computer and Data Science / Engineering

students holding up a laptop and circuits

Dr. Shivendra Panwar’s lab focuses on developing the next generation of Internet technologies. Research topics include wireless networks, telecommunications policy, video delivery over networks, network security, and more. Students work with research testbeds to implement large-scale network experiments and evaluate new applications, protocols, and ideas to make the Internet work better for everyone.


Music and Audio Research Lab (MARL)
Areas of STEM Research: Computer and Data Science / Engineering

robotic head with ears


Professor Juan Pablo Bello leads the Machine Listening group of the Music and Audio Research Lab (MARL), which focuses on endowing computers with listening skills, such as the ability to automatically identify sound sources in urban and natural environments. The team works in a diverse set of applications at the intersection between machine learning, audio signal processing and citizen science. As an example, in one of our main projects, Sounds of New York City, we develop methods to effectively monitor, analyze, and mitigate urban noise pollution. Student researchers will contribute to building, testing, and deploying remote acoustic sensors for urban noise monitoring; developing tools for mapping bird migration; and writing software for analyzing environmental sounds and animal vocalizations. 


Smart Energy Research (SEARCH)
Areas of STEM Research: Computer and Data Science / Engineering

map of lights across the US

Dr. Yury Dvorkin’s lab looks into engineering solutions that can intellectualize electricity delivery in the US and across the world. Practically, it means exploring available resources (or creating new ones!) to ensure clean, cheap, and reliable electricity production, transmission, distribution, and consumption. In his lab, he develops mathematical models and algorithms to simulate versatile processes underlying electricity delivery and assess the impact of smart grid technologies on these processes. Their motto is to keep the lights on (unless consumers want to switch them off)!


ECE Machine Learning Lab

Area of STEM Research: Computer and Data Science/ Engineering

makeshift car

Founded by Professor Anna Choromanska, the Machine Learning Lab at NYU Tandon School of Engineering aims to create a favorable work-space to drive innovation in the field of artificial intelligence. The members of the lab pursue research at the intersection of machine learning, deep learning, and robotics. In addition, several other faculties members inside and outside the department with specific interests in machine learning have collaborations on various projects at the lab. 

Some of the ongoing projects include generative modeling and sensor fusion for self driving vehicles, interpretability and visualization of deep learning models, multi-label classification to tag data with classes from extremely large sets of labels and designing optimization algorithms for fast and efficient training of deep learning models. 


Laboratory for Nanoelectronics Research 

Areas of STEM Research: Computer and Data Science / Engineering

a close up image of a microchip

The NYU Laboratory for Nanoelectronics Research, or Nanolab, led by Professor Davood Shahrjerdi, studies the physics of electronic materials and their application in building devices and circuits. We are an experimental group with experience in the synthesis of layered materials, nanofabrication of electronic devices, and electrical measurements at both room and cryogenic temperatures. Our team is currently pursuing the following projects: electronics for interfacing with living cells, to build chemical imagers for monitoring chemical activities across living cells in real-time with high spatial and temporal resolutions, and nano-enabled security, focusing on how to use the advantageous features of nanomaterials for secure computing and communications.


Composite Materials and Mechanics Laboratory
Area of STEM Research: Engineering

student operating machinery Dr. Nikhil Gupta’s Composite Materials and Mechanics Lab will allow students to engage in research projects related to additive manufacturing (3D printing) of composite materials. The recent work is focused on applying machine learning to microstructures of composite materials for materials design and mechanical property estimation. In addition, the laboratory is working on cybersecurity in additive manufacturing to develop secure and trustworthy designs containing anti-counterfeit production features, anti-reverse engineering methods and genuine product authentication methods. 


Mechatronics Lab
Areas of STEM Research: Engineering / Computer and Data Science

students in a lab

Dr. Vikram Kapila’s Mechatronics Lab will engage students in research on the use of mobile devices to produce intuitive and natural interfaces for human robot interaction. This research has applications for children and adults who may have cognitive or physical disabilities, and it can hasten the widespread adoption of robotics in society–in homes, grocery stores, museums, etc.


Applied Dynamics & Optimization Lab
Areas of STEM Research: Engineering / Computer and Data Science

students holding up a robot


Dr. Joo H. Kim’s Applied Dynamics and Optimization Laboratory studies multibody system dynamics, optimization theory and algorithms, motion planning, design, and control, with their applications to mechanical systems. Main domains for implementation and applications include robotic and biomechanical systems and their intersections such as lower-body wearable robots. Current research focuses on energetics of dynamic systems, legged balance and gait stability, and integration of dynamics/control with numerical optimization. Our research aims at bringing together both robotic and biomechanical systems; we aim to establish mathematical models, quantitative criteria, and algorithmic/computational foundations for their implementations in advancing: (i) design and control of robots and machines and (ii) prediction and analysis of biomechanical systems.  


Dynamical Systems Lab
Areas of STEM Research: Engineering / Computer and Data Science

students in a lab conducting experiments

Dr. Maurizio Porfiri’s Dynamical Systems Lab focuses on marine robotics and autonomous systems. Among the research projects students may investigate are the energy harvesting capabilities of an active water mill; capturing the mechanical energy of ocean waves and converting it into electrical energy; visualizing the flow of water to predict flooding patterns and the movement of pollution/debris within the Gowanus Canal in Brooklyn; conducting a parametric study to investigate the effects of different beam arrangements (the way we fix the motion of the beam), geometrical properties (such as thickness of the beam), and material properties (the beam stiffness) on the vibration characteristics of beams immersed in water; and, designing and fabricating a robotic-fish inspired by the Zebrafish.


Machines in Motion Lab

Area of STEM Research: Robotics/ Computer and Data Science 


Dr. Ludovic Righetti's Machines in Motion laboratory aims to understand the fundamental principles of robot movements: what algorithms would allow a robot with arms and legs to walk around and manipulate objects autonomously? It develops novel algorithms based on optimal control and reinforcement learning. The laboratory offers various projects such as algorithms to enable a robot to learn how to walk, optimal control experiments with a jumping quadruped robot, learning the dynamics of fast contact interactions, manipulation of complex objects and fusion of multiple sensory information to make sense of the environment.

Who Should Apply?

  • New York City residents who are completing 10th or 11th grade in June 2022.
  • Academically prepared, highly motivated students.
  • Applicants with a passion for science, technology, engineering and math.
  • Students who will attend the entire program, full time (approximately a 9 to 5 day, Monday-Friday, everyday), from June 28, 2022 to August 13, 2022, and an orientation on June 24, 2021.
  • Responsible students who have demonstrated: an ability to make and fulfill commitments, timeliness and persistence.
  • Eligible applicants for this program must meet all the above criteria.
  • Check the Frequently Asked Questions section below if you still have questions after reading the Application Walkthrough.

two ARISE students

Before you apply:

  • Consider the Research Opportunities and the fields of interest.
  • Carefully review the Application Info section for instructions, tips, and a description of the multi-step application and selection process.
  • Check the Frequently Asked Questions section below if you still have questions after you read the instructions.
  • You must apply online, on the Application Form page. We cannot accept paper applications or emailed applications.
  • Do not begin the Application Form until you have gathered all the information and written the required essay as described in the Application Info section.

Important Dates and Information

  • Week of November 22nd, 2021: Application period opens online for Summer 2022.
  • March 1, 2022 at 11:59 PM: Student online applications due. The web form will close after 11:59 PM EST on March 1.
  • March 5, 2022 at 5 PM: Recommender online responses due.
  • Week of March 22, 2022: Notification of applicants invited to continue with the application process by attending lab tours and group interviews at the School of Engineering or College of Arts and Sciences.
  • April 18-19, 2022: Mandatory lab tours and group interviews. 
  • On or Around April 23, 2022: Notification of applicants invited to continue with lab interviews. 
  • May 1 and or May 2, 2022: Mandatory afternoon of on-campus interviews with lab personnel and mentors. 
  • May 8, 2022: Notification to selected applicants offered lab placements.  All other active applicants will be waitlisted. It is very likely that several waitlisted candidates will eventually be offered lab placements.
  • May 9, 2022: Students offered placements must accept or decline the offer.
  • June 24, 2022: Mandatory orientation for accepted students.
  • June 28, 2022 to August 13, 2022: ARISE runs full-time, 5 days per week (except July 4). The final colloquium will be held on the last day, August 13, 2022.

Good to know:

  • Students completing the entire program will receive a $750 stipend. Additional stipend may be available for certain students on an individual and demonstrated-need basis.
  • Approximately 60-66 placements are available for summer 2022.
  • We cannot accept applications from students who reside outside of one of the five NYC boroughs. Students who will be living in NYC for the summer, only, or who attend school in NYC but live outside of NYC are not eligible.
  • Questions? Please read all instructions and program web pages.  For information not found on the website, please Email:
  • If you have submitted an application, please provide your full name with any inquiry and on the email subject line state: ARISE Application.
  • Follow us on social media on our Twitter, Instagram, and Facebook!
ARISE students in front of NYU Tandon

Application Form

STOP: have you read the instructions? If not, please check the Application Information and Application Walkthrough sections. Note that the application is a multi-step process: 1) you will create credentials by completing and submitting the form below; 2) you'll need to login to the application as instructed in the email you will receive and complete and submit the application;  3) if you did not upload a transcript and/or your support letter is not yet received, you will need to log back into your account to upload your transcript when you have it, and you can also send a reminder email to your support letter writer.  Note too that your support letter individual will receive an automated email immediately after you enter their name and information in the application. Therefore, do not submit practice applications or multiple applications. Please submit just one application. 

students observing data on a computer

Note: If you need to convert a 4 point GPA to a scale of 100 please refer to this guide.