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Melissa A Russo, 31751 N Promontory Dr, Tucson, AZ 85748

Melissa Russo Phones & Addresses

751 N Promontory Dr, Tucson, AZ 85748    520-2358360   

Redondo Beach, CA   

Los Angeles, CA   

Tempe, AZ   

Upland, CA   

751 N Promontory Dr, Tucson, AZ 85748   

Work

Company: Weinman & Associates P.C. Address:

Emails

Mentions for Melissa A Russo

Career records & work history

Lawyers & Attorneys

Melissa Russo Photo 1

Melissa Russo - Lawyer

Office:
Weinman & Associates P.C.
Specialties:
Family Law, Domestic Violence and Stalking, Constitutional and Statutory Law, Child Support, Employment Law, Alternative Dispute Resolution, Government, Appellate Practice, Human and Civil Rights
ISLN:
1000371318
Admitted:
2016
University:
University of Texas at Austin, B.A.
Law School:
St. Mary's University School of Law, J.D., 2015

Medicine Doctors

Melissa B. Russo

Specialties:
Anesthesiology
Work:
Ochsner ClinicOchsner Medical Center Anesthesiology
1514 Jefferson Hwy FL 2, New Orleans, LA 70121
504-8423980 (phone) 504-8422036 (fax)
Site
Education:
Medical School
Louisiana State University School of Medicine at New Orleans
Graduated: 2003
Languages:
English
Description:
Dr. Russo graduated from the Louisiana State University School of Medicine at New Orleans in 2003. She works in New Orleans, LA and specializes in Anesthesiology. Dr. Russo is affiliated with Ochsner Medical Center Jefferson Highway.

Melissa Russo resumes & CV records

Resumes

Melissa Russo Photo 47

Melissa Russo

Location:
United States
Melissa Russo Photo 48

Melissa Russo

Location:
United States

Publications & IP owners

Us Patents

Automated Wellhead Monitoring And Control System

US Patent:
2023011, Apr 13, 2023
Filed:
Oct 7, 2022
Appl. No.:
17/961603
Inventors:
- Reston VA, US
Philip CARRILLO - Sunset Beach CA, US
Melissa RUSSO - Long Beach CA, US
Christopher CARVER - Murfreesboro TN, US
Assignee:
Stearns, Conrad and Schmidt, Consulting Engineers, Inc. - Reston VA
International Classification:
E21B 34/02
E21B 47/06
E21B 47/10
Abstract:
An automated wellhead monitoring and control system. The system is communicatively coupled to one or more LFG wellheads as well as other desired landfill components. The system receives and aggregates both real-time and historical data related to the operation of landfill components at a single site and/or integrates numerous sites for comparison. The system controls the LFG wellheads and other desired landfill components based on the real-time, forecasted, and historical data, and utilizes various algorithms, including machine learning and artificial intelligence, to effectuate such control.

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