Data scientist

Saumya Gupta, Ph.D.

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SUMMARY

A seasoned engineer with an interdisciplinary background in electrical and transportation engineering, I strongly believe in creating inclusive urban cities that prioritize the well-being of individuals, nature, and the community. My prior work focuses on diverse facets of urban transportation, urban planning, active mobility, and sustainability, utilizing data-driven techniques, machine learning, and AI. EDUCATION

Ph.D., Civil Engineering with Transportation/Smart City Focus, (Fall 2022); UCF, Orlando, Fl M.S., Electrical & Computer Engineering, 2016; University of Nevada Las Vegas, Las Vegas, NV B. Tech., Electronics and Instrumentation Engineering, 2009; U.P. Technical University, Lucknow, India WORK EXPERIENCE

Mar’23-present Transportation Data Analyst, Insight Transportation Consulting, Orlando

• Working on several urban planning and transit ridership forecasting related transportation projects.

• Conducting data analysis using advanced analytic tools to make data-driven decisions. May’22-Nov’22 Sustainability Intern, Orange County Public Works

• Worked on the Orange County Sustainable Operations and Resilience Action Plan

• Prepared a training presentation and drafted a white paper for Public Works management and staff based on best practices from FDOT, FHWA, and TRB. 2018-2022 Graduate Research/Teaching Assistant, University of Central Florida Research Assistant (funded by SAFER-SIM, a Tier-1 UTC):

• Developed a trajectory planning framework to study active mobility users’ interactions in urban spaces.

• The framework will allow urban planners to test traffic scenarios and thus proactively plan and design safer urban cities.

Aug’17-Dec’17 Adjunct Faculty, Dept of Electrical & Computer Engineering, CSULA

• EE3001: Numerical Analysis and Modeling using MATLAB. Nov’16-Nov’17 Web and Marketing Analyst, PolyPak America, Los Angeles

• Data Analytics, Marketing Analytics, IT and Website Management Jan’14-Aug’16 Research Assistant, Transportation Research Center, UNLV

• Crash data analysis, occupant protection, and machine learning JOURNAL PUBLICATIONS

1. Pushkin Kachroo, Saumya Gupta, Shaurya Agarwal, and Kaan Ozbay. “Optimal Control for Congestion Pricing: Theory, Simulation and Evaluation.” IEEE Transactions on Intelligent Transportation Systems, 18, no. 5 (2017): 1234-1240.

2. Saumya Gupta, Mohamed H. Zaki, and Adan Vela. ”Generative Modeling of Pedestrian Behavior: A Reced- ing Horizon Optimization-Based Trajectory Planning Approach.” IEEE Access 10 (2022): 816**-*****. 3. Saumya Gupta, Mohamed H. Zaki and and Adan Vela. “HISS: A Human Trajectory Planning Simulation Framework for Shared Space ” IEEE Open Journal of Intelligent Transportation Systems, (2023) 4. Saumya Gupta, and Mohamed H. Zaki “Formulating a stable network coordination utilizing predicted pedes- trian behavior” (under preparation)

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CONFERENCE PRESENTATIONS

1. Saumya Gupta, Dr. M.Zaki, Dr. Hassan. “Evolutionary Dynamics of Social Media Activity during Natural Disasters,” Southern Data Science Conference and Data Science Summit: Smart Cities of the Future, Orlando, 19 October 2018.

2. Saumya Gupta, Dr. M.Zaki. “Developing a Pedestrian Behavioral Mobility Model in Urban Facilities,” In- ternational Conference on Smart Tourism, Smart Cities and Enabling Technologies (The Smart Conference), Orlando, 1-4 May, 2019.

3. Saumya Gupta, Dr. M.Zaki. “A Simulation Platform for Evaluating Ad-Hoc Networks in Shared Facilities using Video-based movement trajectories,” ASCE International Conference on Transportation & Development

(ICTD 2020), Seattle, May 26-29, 2020.

4. Saumya Gupta, Mohamed H. Zaki and and Adan Vela. “A Receding Horizon Optimization to generate Pedes- trian Trajectories in Shared Space. ” TRB 102nd Annual Meeting. 5. Saumya Gupta, Pushkin Kachroo, Shaurya Agarwal, and Kaan Ozbay “Exploring PageRank Algorithm and Voronoi Diagrams for Dynamic Network Partitions Facilitating Feedback Linearization based Control” 14th International Conference on Transportation Planning and Implementation Methodologies for Developing Coun- tries (TPMDC).

6. Syed Mostaquim Ali, Saumya Gupta and Mohamed H. Zaki. “Deep Reinforcement Learning-Based Pedestrian Trajectory Generation: Incorporating Social Context. ” TRB 103rd Annual Meeting. SKILL SETS

Languages Python, MATLAB, R

Traffic Simulation Software OMNeT++, SUMO, ArcGIS, STOPS, GTFSed Text Processing and Graphics MS Word, MS Powerpoint, LaTeX, yED Marketing Tools and Analytic Tools Act-On, SugarCRM, Google Analytics, Google Adwords Extracurricualr interests Yoga, cooking, gardening, drawing, reading motivational and life changing books, having uplifting conversations.

PROFESSIONAL ACTIVITIES

Presented in • Safer-Sim (UTC) Webinar 2021, Improving mobility for non-motorized and vulnerable Road-Users

• International Conference on Smart Tourism, Smart Cities and Enabling Technologies, Orlando, 2019.

• Southern Data Science Conference & Summit: Smart Cities of the Future, Orlando, 2018. Reviewer for • Transportation Research Board Annual Conference

• IEEE Intelligent Transportation Systems Conference Data Mining Competition • CFE 2018 Lending Analytics Competition AWARDS

UCF Doctoral Research Support Award 2021

UNLV Access Grant-Grad NN (multiple times)

UCF College of Graduate Studies Presentation Fellowship PERSONAL DETAILS

Preferred Location • Orlando Area/Remote

VISA Sponsorship • None required; U.S. Permanent Resident Saumya Gupta, Ph.D. Page 2 of 2 ***.*************@*****.***

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