Student Organizations
Association for computing machinery
As the world’s largest computing society, the Association for Computing Machinery (ACM) strengthens the profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM is the premier student organization for computing and information technology professionals, and it supports the professional growth of its members by providing opportunities for life‐long learning, career development, and professional networking. The UToledo student chapter of the ACM (UT-ACM) is dedicated to promoting interdisciplinary computing, enabling professional development on campus, and promoting computer science as a profession as well as a hobby!
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Student Organization President
Noah Douglas
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Faculty Advisor: Dr. Kishwar Ahmed |
Association for computing machinery - women
As an extension of the Association for Computing Machinery, the Association for Computing Machinery - Women (ACM-W) supports, celebrates, and advocates internationally for the full engagement of women in all aspects of the computing field, providing a wide range of programs and services to ACM members and working in the larger community to advance the contributions of technical women.
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Student Organization President
Mehzabien Iqbal
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Faculty Advisor: Dr. Samia Tasnim |
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers (IEEE) is a professional society that supports the fields of electrical and computer engineering; it is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. The student branch at UToledo offers students opportunities for networking, expanding their knowledge of the field, getting help with classes, and learning technical and professional skills. Our meetings include technical presentations and videos on a variety of EE and CSE topics. We encourage students to get involved in our projects where they can design and build devices such as a VU meter, Tesla coil, EEG, or Traction Control System.
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Faculty Advisor: Dr. Raghav Khanna |
