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Voices from IMMS

Here, colleagues describe their views on their work at IMMS. We would like to thank them for their commitment.

 

Voices from IMMS

Alex S. Huaman, M.Sc., doctoral candidate

“Upon joining IMMS, I became part of a multidisciplinary working team with cutting-edge technological equipment. Here I am part of a team that works like a family group, where everyone shares a sense of belonging, helps each other when needed, and learns from each other.“

Voices from IMMS

Rick Pandey, M.Sc., scientist

”As part of the vibrant IMMS team, I am continually inspired by the synergy of brilliant minds and diverse expertise. Collaborating with fellow experts we collectively push the boundaries of what’s achievable, propelling our projects to new heights.“

Voices from IMMS

Jonathan Josue Gamez Rodriguez, M.Sc., scientific employee

”Since I have been working at IMMS, I have been continuously expanding my knowledge from my studies and at the same time I can try out new concepts and methods to find ever better solutions.”

Voices from IMMS

Jakob Hampel, M.Sc., scientific employee

”The helpfulness of colleagues in the department of Industrial Electronics and Measurement Technology, especially for designing analogue circuits and operating the complex measurement instruments, played a key role in successfully completing the Bachelor’s and Master’s thesis.”

Hani Abdullah bei Voruntersuchungen für einen UHF-RFID-Sensor-Transponder-IC zur Überwachung von Pflanzen in Gewächshäusern und für einen Wake-Up-Empfänger-IC zum Monitoring von Windkraftanlagen, die wir im Projekt StorAIge entwickeln. Foto: IMMS.

Voices from IMMS

Hani Abdullah, M.Eng., scientific employee

”The projects we have at IMMS are not only important to support companies with innovations. Rather, we work on solutions from which our society can benefit. That motivates me immensely because I want to contribute to a better society.”

Voices from IMMS

Umut Onus, Embedded Software Engineer

“With the know-how at IMMS, not only I can build AI models that can help shape the future of maintenance and prognostics, but also I can contribute to the optimality and availability of such models for embedded devices.”