We work with industry, government, science, and educational partners to stand-up and optimize large-scale platforms and digital/data/ai infrastructure via careful design, engineering, experimentation, and data analysis.
nugig.tech - ai-matched high-skilled talent on tap
IoT Open Innovation Lab - team-based distributed product development platform
Marketing hackathon in virtual and physical spaces
Universities-as-platforms - interdisciplinary science grants, coop and career effects, early entrepreneurship experience and startup founding
Current & Past Research TEAM MEMBERS
Shruti Saravanan, Research Assistant & Program Manager, Computer Science, Zoho, Tactii, KloudOne
Conor Mackey, Artificial Intelligence, Forest Foundation
Ethan Mandel, Electrical & Computer Engineering, RSA Geolab, Matrix New World Engineering
Adam Ma, Computer Science & AI & Mathematics
Aneesh Arunjunai, Engineering & Computer Science & System Security, digiAlert, KloudOne
Vaughn Williams, Screen and Media Studies, Converge Media
Annie Cayer, Business Administration, Woof Magazine, Huntington News
Yogesh Arjun Kumaar, Research Assistant & Program Manager, Software Engineering & Artificial Intelligence, Harvard D^3 AI, CloudOne, Scientific Games, Amazon Robotics
Anand Hegde, Research Assistant & Program Manager, Computer Science, Amazon Web Services, Activision, Zynga, Intuit
Abhinav Kharbanda, Research Assistant & Program Manager, Software Architecture, Computer Science; Instacart, Alight and Defence Research and Development Organisation
Austen Keene, Research Assistant & Program Manager, Computer Science, Software Development, Amazon Web Services, Amazon Robotics
Afan Khan, Research Assistant & Program Manager, Computer Science, AI, NLP, embedded systems; The MathWorks, Tata, Infosys
Raghavi Kirouchenaradjou, Information Systems, Hubspot, SAP
Sreerag Mandakathil, Research Assistant & Program Manager, Software Engineering; World History Association, Amazon Robotics
Vivek Dalal, Research Assistant & Program Manager, Software Development Engineer, Embedded Systems; Amazon Robotics, Salesforce
Prathamesh Tajane, Research Assistant & Program Manager, Computer Science; Amazon, Philips Lighting, National Stock Exchange
Anaelle Surprise, Research Assistant, Honors Data Science and Psychology, United Way
Arica Bartee, MSc Data Science
Atif Khan, Research Assistant, Data Engineer, Computer Science, IR, algorithms, big data; Amazon, Amazon Robotics, Cognizant Systems
Jessica van de Ven, Computer Science, Embedded Software Engineering, Bose Corporation
Sudhanva Narayana, Research Assistant, Software Engineering & Artificial Intelligence, Pixxel Machine Learning
James Shah, Research Assistant, Software Engineering, DBreath Medical Devices
Steven Abbott, Research Assistant, Computer Science, Goldston Oil Corporation, Morse Corp
Darsh Desai, Research Assistant, Operations Research, Data Science; Fidelity Investments, Level Education Data Science & Analytics
Deveshi Thanawala, Research Assistant, Software Engineering, Veryable Marketplace
Dyan Khor, Research Assistant, Marketing Analytics Ops Growth Engineering, A/B testing, Platform User Acquisition; CashApp, Hubspot, Adobe
Eric Doroski, Research Assistant, Economics & Mathematics; Zanzibar Capital, Revolution Capital, State Street, Plug In America, Jump Investors
Gourishankar Seal, Research Assistant; Mathematics, Machine Learning; UBS bank, Volos Portfolio, Precision Health Economics
Gowtham Genupur, Research Assistant; Software Engineering; Amazon Lab126
Jack Du, Research Assistant, Applied Mathematics and Economics; DoorDash, Morgan Stanley
Joseph Antony, Research Assistant, Information Systems; Air Worldwide, Hewlett Packard
Katie Wilhoit, Research Assistant, Interaction Design and Entrepreneurship; Unsize, Mass Challenge, Scout Labs, IDEO, Media Lab
Gabriella Zabatta, Accounting and Biology, PWC, Mathnasium
Hardik Mody, Research Assistant, Information Systems, Veryable Marketplace, Amazon Web Services
Kaushik Padmanabhan, Research Assistant, Computer Engineering, Embedded Systems, Security; Securonix, HCL Embedded Computing & Networking
Mavez Dabas, Research Assistant, Computer Science, Data Science; Audible, Tesla, CrowdComfort
Nicole Danuwidjaja, Research Assistant, Computer Science and Business Administration; Zwift, WHOOP, Pareto, Generate Product Development
Nikitha Tejpal, Research Assistant, Computer Science, Honeywell Corp
Nikin Tharan, Research Assistant, Medsix, Techstars, Manulife/John Hancock, Embedded Systems Lab, Alpha Electronics
Nilam Kaushik, Research Affiliate, Lab Manager & Visiting Scholar, Professor, IIMB; Management and Innovation, Machine Learning; RIM/Blackberry
Olga Ozhereleva, Administrative & Finance Manager; Business, Accounting, Finance and Tax; Boston Consulting Group
Paras Babbar, Research Assistant, Software Engineering; Red Hat, Dell EMC, State Street
Patrick McGrath, Research Assistant, Computer Science; Klaviyo, Local Executive Board Member of Association for Computing Machinery
Praveen Pallapothula, Research Assistant, Computer Science & Business; Paraxel
Priyaranjan Panda, Research Assistant; Amazon Web Services, Tata Consultancy, HCL Technology
Raghavi Kirouchenaradjou, Research Assistant, Software Engineering; Constant Contact, SAP, Tata Consulting
Richard Paulsen, Research Assistant, Economics; Federal Reserve Bank of Boston
Samuel Hausmann, Research Assistant, Computer Engineering; NASA Johnson Space Center
Satish Kumar Anbalagan, Research Assistant, Embedded Systems; Qualcomm, Libre Wireless
Shruti Saravanan Research Assistant, Computer Science, Zoho, KloudOne
Sravanthi Kethireddy, Research Assistant, Data Science, Computer Science & Aeronautical Engineering; Ernst & Young, Infosys
Digital Ether + Physical Spaces Marketing Challenge
Data analysis identified roughly 1000 highly skilled individuals in modern digital marketing methods. Those individuals were invited to form teams in a two-stage challenge. In stage one, teams created (1) professional designs (2) an overll digital promotional strategy -- which would cover both a digital campaign and a digitized campaign in physical spaces. In stage two, 5 teams were selected to compete with each other in implementing their strategies (to promote an actual event). Data were collected from web analytics and QR code trails in physical spaces. Real time analytics tracked the competition.
NUgig.tech
The technological "stack" across which organizations now need to deploy capabilities is becoming increasingly sophisticated. "Full stack" used to mean front-end and back-end. Today, all organizations--not just tech companies-- require a much wider range of specialized and multidisciplinary skills across data science, business, security, networking, cloud, digital design, digital marketing, robotics, embedded devices, technical sales, internet-of-things, communications and media, and so on.
It's hard to quickly get the right talent and start working on a problem, particularly new problems and getting started. NUGig allows community members to tap into the "spare capacity" of highly skilled Northeastern community members, across tends of thousands of students, hundreds of thousand alumni and families, and thousands of Northeastern corporate partners. The purpose of this initiative is to create a smaller "unit of work" than full-time hires or coops -- at the levels of tasks, gigs, or problems-to-solve -- to allow managers to start getting work done. Apart from getting work done, it is an opportunity to learn, connect, and build relationships and make connections within the formidable NU community.
The platform provide a context for research and experimenting with novel ways to allow supply and demand for highly-skilled problem solvers to find one another.
IoT Open Innovation Lab
The IoT Open Innovation Lab is a special initiative of RPDIES and Northeastern to deploy an IoT Open Innovation platform to enable innovation, experimentation, and development of IoT applications by Northeastern community members, solving problems for affiliated companies. The project is supported by collaborations with industry and the wider university.