Exploring the Potential of Deep-Learning and Machine-Learning in Dual-Band Antenna Design Keywords Antennas, Dual Band, Computational Modeling, Mathematical Models, Antenna Arrays, Training, Accuracy, Machine Learning, Deep Learning, Antenna Design, Dual Band Antennas, AI Antenna, Deep Learning, Antenna Design, Dual Band Antenna, Dual Band Antenna Design, Neural Network, Support Vector Machine, Design Process, Machine Learning Models, Machine Learning Techniques, Design Parameters, Internet Of Things, Reflection Coefficient, Operating Frequency, Regression Problem, Residual Network, Wireless Communication Systems, Internet Of Things Applications, Modern Communication, Antenna Performance, Residual Neural Network, Electromagnetic Simulation, Multiple Outputs, Neurons In Layer, Hidden Layer, Internet Of Things Devices, Res Net Model, Horizontal Stripes, Vertical Stripes, Simulation Technology, Traditional Antenna Abstract This article presents an in-depth exploration of machine learning (ML) and deep learning (DL) for the optimization and design of dual-band antennas in Internet of Things (IoT) applications. Dual-band antennas, which are essential for the functionality of current and forthcoming flexible wireless communication systems, face increasing complexity and design challenges as demands and requirements for IoT-connected devices become more challenging. The study demonstrates how artificial intelligence (AI) can streamline the antenna design process, enabling customization for specific frequency ranges or performance characteristics without exhaustive manual tuning. By utilizing ML and DL tools, this research not only enhances the efficiency of the design process but also achieves optimal antenna performance with significant time savings. The integration of AI in antenna design marks a notable advancement over traditional methods, offering a systematic approach to achieving dual-band functionality tailored to modern communication needs. We approached the antenna design as a regression problem, using the reflection coefficient, operating frequency, bandwidth, and voltage standing wave ratio as input parameters. The ML and DL models then are used to predict the corresponding design parameters for the antenna by using 1,000 samples, from which 700 are allocated for training and 300 for testing. This effectiveness of this approach is demonstrated through the successful application of various ML techniques, including Fine Gaussian Support Vector Machines (SVM), as well as Regressor and Residual Neural Networks (ResNet) with different activation functions, to optimize the design of a dual-band T-shaped monopole antenna, thereby substantiating AI's transformative potential in antenna design. Authors: RIDA GADHAFI 1 (Senior Member, IEEE), ABIGAIL COPIACO 1 (Member, IEEE), YASSINE HIMEUR 1 (Senior Member, IEEE), KIYAN AFSARI 2 (Member, IEEE), HUSAMELDIN MUKHTAR 1 (Senior Member, IEEE), KHALIDA GHANEM 3,4, AND WATHIQ MANSOOR 1 (Senior Member, IEEE) Agenda: 7:30 Tea and Coffee 7:45 Paper discussion 8:30 End 6 Flagstone Dr, Hudson, New Hampshire, United States, 03051, Virtual: https://events.vtools.ieee.org/m/442040

- Audience: Engineering students, researchers, robotics enthusiasts, and professionals. - This joint event is an opportunity to inspire budding roboticists, students, professors and strengthen collaborations across IEEE RAS sections. We believe the involvement will make a significant impact on its success. - More details are on this site: https://events.vtools.ieee.org/m/446641 - Speakers are Dr. Jayabalan, Dr. Raghavan NH Section RAS Chair, Dr. Vijayalata, Dr. Portillo-Velez and Dr. Subh. Please see above url and agenda here. - Times are in IST time zone in the attached agenda so please note to convert the times to EST time zone accordingly. Co-sponsored by: IEEE Hyderabad India RAS Society Speaker(s): Dr. Sri Raghavan Agenda: Time (IST) Events 18:45 The Link will be open for participants to join 18:50 Introduction to IEEE Hyderabad Section , by Dr Y Vijayalata, Chairman, IEEE Hyderabad Section 19:00 Introduction about IEEE RAS Hyderabad Section by Dr Sudharsan Jayabalan, Chairman, IEEE RAS Hyderabad Section Chapter, Director, IIIRPD Robo Tech LLP, Hyderabad, India. 19:10 Talk1: “ Your Pathway to a Career in Robotics” , by Eng. Abed-Alrahman Subh, CEO of CyberRobotics, Jordan 19:40 Question Session 1 19:45 Talk2: “ Recent Advances and Career Opportunities in robotics” , by Dr. Rogelio de Jesus Portillo-Velez Ph.D., Professor, Universidad Veracruzana Ing Boca del Rio, Mexico 20:15 question Session 2 20:20 Talk3: “Robotics as a Subsumption: Career Opportunities” by Dr.Sri Raghavan, Emeritus Fellow, Motorola & Faculty Wang Institute, Chief Scientist Technology Incubation, Chair IEEE New Hamisphere RAS - USA 20:50 Question Session 3 20:55 Thank you and Valedictory Bldg: Starbucks, 6 Flagstone Dr, Hudson, New Hampshire, United States, Virtual: https://events.vtools.ieee.org/m/446425

Leadership recognition dinner to honor our New Hampshire Volunteer Leaders. This includes our 2023 and 2024 ExCom members, Chapter and Affiliate Group teams, and functional group leaders (Student Activities, Educational Activities, History, Newsletter and professional activities) Also our NH Student Branch leaders - Faculty advisor, and chapter president/vice presidents or their designees. $5 Volunteer registration $20 Plus1/non-member registration Room: Suite C, Puritan Conference & Event Center , 245 Hooksett Road, Manchester, New Hampshire, United States, 03104

This exclusive webinar series brings together global leaders in robotics and innovation to inspire and guide the next generation of engineers. The event is designed to provide a platform for young engineers to gain insights into the latest advancements in robotics, career opportunities, and emerging trends shaping the future of technology. Through engaging discussions and expert talks, participants will: - Explore cutting-edge developments in robotics and automation. - Learn about diverse career pathways in the field of robotics. - Gain global perspectives from industry pioneers and academic leaders. - Connect with a global community of engineers and professionals. Agenda: Time (IST) Events 18:45 The Link will be open for participants to join 18:50 Introduction to IEEE Hyderabad Section , by Dr Y Vijayalata, Chairman, IEEE Hyderabad Section 19:00 Introduction about IEEE RAS Hyderabad Section by Dr Sudharsan Jayabalan, Chairman, IEEE RAS Hyderabad Section Chapter, Director, IIIRPD Robo Tech LLP, Hyderabad, India. 19:10 Talk1: Social and Educational Robotics for Children with Intellectual Disabilities , by Prof. Dr. Jawaid Daudpoto , Professor & Chairman, Department of Mechatronic Engineering Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan. 19:40 Question Session 1 19:45 Talk2: “ Recent Advances and Career Opportunities in robotics” , by Dr. Rogelio de Jesus Portillo-Velez Ph.D., Professor, Universidad Veracruzana Ing Boca del Rio, Mexico 20:15 question Session 2 20:20 Talk3: “Robotics as a Subsumption: Career Opportunities” by Dr. Raghavan, Emeritus Fellow, Motorola & Faculty Wang Institute, Chief Scientist Technology Incubation, Chair IEEE New Hampshire RAS - USA 20:50 Question Session 3 20:55 Thank you and Valedictory Virtual: https://events.vtools.ieee.org/m/446641