个人介绍： He is a highly distinguished researcher and academic in the field of electrical engineering, specifically specializing in energy storage, battery management systems, and electric vehicles. Their exceptional scholarly impact is demonstrated by their consistent inclusion in Stanford University's list of the world's top 2% most-cited scientists since 2019 and their membership in the U.S. National Academy of Inventors (NAI). With a strong record of innovation, they hold 4 U.S. patents and have authored over 80 peer-reviewed publications. Their expertise spans both theoretical and practical applications, having worked in industry as a Battery Software Engineer and secured substantial research grants as a principal investigator in academia. Currently an associate professor, they have extensive experience teaching a wide range of courses, supervising students, and contributing to professional service, including chairing conference sessions and reviewing for top-tier journals.

个人介绍： with a B.S. in Mechanical Engineering and pursuing an M.S. in Manufacturing Engineering, has 3+ years in manufacturing engineering (lean/six sigma) and 2+ years in mechanical design. He’s a Graduate Research Assistant (2020–present), skilled in AutoCAD/SolidWorks, C/Python, and saved $350K/annum via cost optimization, holding a Six Sigma Green Belt.

个人介绍： He is a versatile professional with a unique blend of industrial and academic experience, holding a Ph.D. in Industrial Technology. With over a decade of experience, they have a strong background in analog/digital hardware design, embedded systems, and power electronics. Their industrial roles involve hands-on PCB design using Altium Designer, component lifecycle management, test automation framework development in Python, and rigorous product validation. Academically, they have served as a full-time professor for nearly a decade, teaching a wide spectrum of undergraduate electrical engineering courses. This dual expertise allows them to bridge theoretical concepts with practical application effectively. Their skills are well-rounded, encompassing circuit design, simulation (MATLAB), programming (C, Python), and the use of essential lab equipment, making them well-suited for roles that require both technical depth and the ability to develop or guide others.

个人介绍： with an M.Sc. and Ph.D. in Earthquake Engineering, is an Assistant Professor at Università di Pavia (2021–present) and BTS Scientific Coordinator at EUCENTRE Foundation (2022–present). He has 14+ years of research experience in seismic isolation systems, shake-table tests, and nonlinear time history analyses, proficient in SAP2000 and MATLAB.

个人介绍： He is an accomplished academic and researcher with a Ph.D. in Computer Engineering and over 18 years of experience. Currently an Associate Professor, their expertise lies at the intersection of Artificial Intelligence, Machine Vision, and Intelligent Control systems. They have a strong record of innovation in STEM education, pioneering the integration of gamification and AI (e.g., using Teachable Machine, Scratch) into the curriculum to enhance student engagement. Their scholarly impact is significant, evidenced by authorship of two books, numerous publications, and an h-index of 23 with over 2000 citations. They have demonstrated consistent success in securing and managing research funding from both internal and external sources for projects ranging from AI in agriculture to microgrid design. Furthermore, they actively contribute to the academic community through leadership roles such as advising AI clubs.

个人介绍： He is a distinguished electrical engineer and researcher holding a Ph.D. and a Professional Engineer (PE) license. Boasting over 17 years of comprehensive experience, their expertise is deeply rooted in power systems, microgrid design, resilience, and power electronics. They have a proven track record of leading complex projects from R&D to commissioning in both industrial and academic settings, including roles as Director of Engineering and Senior Staff Engineer focusing on projects ranging from data centers to electric aircraft propulsion. Academically, they have served as a professor and principal investigator, founding a microgrid research center and securing external funding. Their significant scholarly contributions include 7 US patents and over 80 highly-cited publications. Their technical proficiency spans advanced modeling software (ETAP, PSCAD, ANSYS) and programming languages (C++, Python, MATLAB), making them a standout expert in the field of modern power and energy systems.

个人介绍： a Mechanical Engineering PhD (Univ. of Houston), has 10+ years in subsea engineering (risers/pipelines) & 4+ years academic experience. He’s an Adjunct Prof at Univ. of Houston (2017–present), a Mechanical Engineering Designer/Analyst at CNAT (2016–present), proficient in CFD/FEA, API/ASME codes, and led projects like Gulf of Mexico LLOG WHO DAT.

个人介绍：  with a BS in Chemical Engineering (Texas A&M) and MBA in Energy Management, has 15+ years in engineering (process, project) & sales. He’s an Adjunct Professor at Oakton College (2022–present), works in B2B sales, and has led projects like LNG plants & wastewater systems, proficient in API codes, process simulation software.

个人介绍： He is a highly experienced electrical engineering professional with a Ph.D. and M.S. from the University of Southern California. With a career spanning over two decades in both academia and industry, they possess deep expertise in Electromagnetic Compatibility (EMC), Signal Integrity, power supply design, antenna systems, and image processing. Their industrial background includes senior engineering roles at leading companies like Xerox and Teradyne, where they contributed to solving complex EMC challenges and developing image quality algorithms, resulting in being a key contributor to 6 awarded US patents. Academically, they have served as an adjunct professor at multiple universities, including California State University Long Beach and UCLA, teaching a wide range of subjects and supervising student projects.

个人介绍： He is an electrical engineer with a Ph.D. in Electrical and Computer Engineering and a postdoctoral background in bioelectronics and wireless systems. Their doctoral work developed switched-beam 60-GHz antenna arrays for high-speed chip-to-chip communications, resulting in several IEEE publications and a U.S. patent. Currently, their research integrates wireless bioelectronic devices with machine learning for real-time wound healing and tissue regeneration, published in high-impact journals such as Advanced Materials Technologies and Scientific Reports. They have hands-on industry experience from internships at Qualcomm and Corning, specializing in RF design, PCB modeling, and antenna simulation using HFSS and CST. With over a decade of teaching and mentoring experience, they have instructed courses in electromagnetics, microwave engineering, and electronics. They are proficient in Python, MATLAB, and embedded systems, and hold U.S. permanent residency.