Artificial Intelligence and Machine Learning: Theory and Applications
April 30th, 2024 Susquehanna Section Dinner/Presentation
This presentation will offer a concise overview of the intelligent algorithm landscape, focusing on major classes of algorithms and providing a basic understanding of machine learning approaches. The speakers will discuss the strengths and weaknesses of different intelligent algorithms, emphasizing their applications in communications and networking. Attendees will gain insights into the diverse uses of intelligent algorithms in these domains.
Dinner will consist of:
- London Broil
- Garden Salad
- Roasted Garlic Mashed Potatoes
- Seasoned Vegetable Medley
- Assorted Dinner Rolls
Parking for the event is free and is in the parking lot south of the library. See the below map of the PSU Harrisburg for an overview on where the building and parking is located.
There is a fee for the entire dinner+presentation event. There is no fee for only attending the presentation.
Date and Time
Location
Hosts
Registration
- Date: 30 Apr 2024
- Time: 06:00 PM to 08:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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Add Event to Calendar
- Penn State Harrisburg
- 777 West Harrisburg Pike
- Middletown, Pennsylvania
- United States 17507
- Building: Madlyn L Hanes Library (Building D)
- Room Number: Room 101, Morrison Gallery
- Contact Event Host
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Jack Burbank, IEEE Susquehanna Section
jack.burbank@ieee.org
- Starts 02 April 2024 12:00 AM
- Ends 30 April 2024 12:00 AM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- Admission fee ?
Speakers
Julia Andrusenko of Rampart Communications
Artificial Intelligence and Machine Learning
Biography:
Julia Andrusenko received her bachelor's and master's degrees in electrical engineering from Drexel University. She currently serves as a senior communications engineer at Rampart Communications. Previously, Julia was a senior communications engineer at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) and the Chief Engineer of the Mission Critical Communications group of JHU/APL. Ms. Andrusenko has over 20 years of experience in communications theory, wireless networking, satellite communications, Radio Frequency (RF) propagation prediction, communications systems vulnerability, computer simulation of communications systems, evolutionary computation, genetic algorithms/programming, MIMO, and millimeter wave technologies.
She also has substantial experience in developing electronic warfare methodologies for various advanced commercial communications systems and military data links. Ms. Andrusenko is a published author of several technical papers and has co-authored two books: “Wireless Internetworking: Understanding Internetworking Challenges” through Wiley/IEEE Press and “Cognitive Electronic Warfare: An Artificial Intelligence Approach” through Artech House. Ms. Andrusenko is a senior member of IEEE, a member of the IEEE Communications Society, and a voting Member of the IEEE 1900.5 Working Group (WG) on Policy Language and Architectures for Managing Cognitive Radio for Dynamic Spectrum Access Applications. Ms. Andrusenko has served as a session chair and organizer, technical reviewer, invited speaker, and panelist for various conferences. Ms. Andrusenko has also served on the steering committee for the annual IEEE/APL 5G Technologies for First Responder and Tactical Networks Workshops.
Sumant Pathak of Rampart Communications
Artificial Intelligence and Machine Learning
Biography:
Sumant Pathak received a Bachelor of Technology in electronics and communication engineering from the Visvesvaraya National Institute of Technology (2013) and a Master of Science in electrical engineering from the University of Kansas (2018). From 2016 to 2023, he was a researcher at the Institute for Information Sciences at the University of Kansas, studying advanced modulation techniques and forward error correction. He is currently a DSP Engineer at Rampart Communications, where his work involves signal processing for cryptographically secure waveforms and machine learning for construction of novel forward error correction codes.
Agenda
Dinner: 6:00 - 7:00 PM
Presentation: 7:00 - 8:30 PM
