Curriculum Vitae

Pit is a researcher at the Deutsche Telekom Chair of Communication Networks at Dresden University of Technology, where he also earned his diploma. He has almost completed his PhD in electrical engineering. His research focuses on molecular communication, the Internet of Bio-Nano Things, micro- and nanoscale communication and computing, and biological computing. During his academic career, he was a visiting research associate at Yonsei University in Seoul, South Korea, working on molecular communication for future communication networks, and at Cortical Labs in Melbourne, Australia, studying synthetic biological intelligence.

Projects/Cooperation within CeTI you are involved in:

  • Ecologic-Computing (start-up activities)
  • CeTI School Modules
  • Research cooperation with several involved research groups, e.g., groups of Holger Boche, Rafael Schäfer, Andreas Richter, Gianaurelio Cuniberti

What are the main topics or questions that drive your research?

In my research, I focus on synthetic molecular communication (MC) and alternative approaches to computing, particularly biological or biohybrid computing. Synthetic MC takes inspiration from natural MC, in which messenger molecules serve as information carriers. While natural MC has evolved over millions of years, synthetic MC engineers at least one component of the system – for example, using synthetic cells as transmitters. This raises research questions such as: How can we reliably encode, transmit, and decode information using biochemical signals? and What are the limits of information capacity in MC channels? Visionary applications include targeted drug delivery or continuous health monitoring for advanced medicine.
My work on biological computing explores how principles of synthetic biology can be leveraged to perform computational tasks in an energy-efficient and inherently parallel manner. This includes investigating biochemical circuits and various computational architectures that go beyond the classical Turing paradigm. Key research questions are: How can we design biological systems that process information predictably? and What computational problems are best suited for biochemical implementations?

What inspired you to pursue your current field of work?

I was inspired to enter this field by the challenge of looking beyond traditional, electromagnetic-wave-based communication and computing. Many established concepts from classical communication theory can be translated to alternative paradigms – yet the reverse is also true: Unconventional systems often reveal principles that can inspire strategies in traditional engineering. At the same time, these non-traditional systems come with unique constraints, noise sources, and environmental influences that change how information can be encoded, transmitted, and processed. Addressing these challenges requires a highly interdisciplinary approach.

What excites you most about being part of CeTI?

CeTI is an incredible network of fantastic researchers, driven by innovation. I am particularly excited about contributing to a community where ideas from engineering, computer science, psychology, and design intersect to create solutions with tangible societal impact.

Which challenge or question has recently sparked your curiosity?

Lately, I have been reading a paper on how insights from information theory and synthetic biology can be combined to quantify the limits of communication in living systems. From my point of view, in an interdisciplinary research field, the challenge to solve lies in bridging various disciplines that speak different “languages.“

How do you like to recharge or spend your time outside of work?

I love doing sports – maybe you remember the active break in COVID times. To recharge, I play badminton or go for a run. If I have more free time outside of work, I give training sessions for kids or teach future badminton coaches to get their official license.

Publications

25 entries « 2 of 3 »
11.

Pit Hofmann; Juan A. Cabrera; Riccardo Bassoli; Frank H. P. Fitzek

Analog network coding in molecular communications: A practical implementation (Proceedings Article)

In: Proceedings of the IEEE Global Communications Conference (Globecom), 2024.

(BibTeX)

12.

Pit Hofmann; Pengjie Zhou; Changmin Lee; Martin Reisslein; Frank H. P. Fitzek; Chan-Byoung Chae

OpenFOAM simulation of microfluidic molecular communications: Method and experimental validation (Journal Article)

In: IEEE Access, vol. 12, pp. 109494–109512, 2024.

(Links | BibTeX)

13.

Pit Hofmann; Alexander Wietfeld; Jonas Fuchtmann; Pengjie Zhou; Ruifeng Zheng; Juan A. Cabrera; Frank H. P. Fitzek; Wolfgang Kellerer

Dataset for advanced plaque modeling for atherosclerosis detection using molecular communication (Miscellaneous)

Dataset at IEEE DataPort, 2024.

(Links | BibTeX)

14.

Pengjie Zhou; Ruifeng Zheng; Pit Hofmann; Juan A. Cabrera; Frank H. P. Fitzek

A diffusive MPPIC solver in OpenFOAM for microfluidic molecular communication (Proceedings Article)

In: Proceedings of the ACM International Conference on Nanoscale Computing and Communication (NanoCom), 2024.

(Links | BibTeX)

15.

Pit Hofmann; Sebastian Schmidt; Alexander Wietfeld; Pengjie Zhou; Jonas Fuchtmann; Frank H. P. Fitzek; Wolfgang Kellerer

A molecular communication perspective on detecting arterial plaque formation (Journal Article)

In: IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 10, no. 3, pp. 458–463, 2024.

(Links | BibTeX)

16.

Lisa Y. Debus; Pit Hofmann; Jorge Torres Gómez; Frank H. P. Fitzek; Falko Dressler

Synchronized relaying in molecular communication: An AI-based approach using a mobile testbed setup (Journal Article)

In: IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 10, no. 3, pp. 470–475, 2024.

(Links | BibTeX)

17.

Roya Khanzadeh; Stefan Angerbauer; Jorge Torres Gómez; Pit Hofmann; Falko Dressler; Frank H. P. Fitzek; Andreas Springer; Werner Haselmayr

Explainable asymmetric auto-encoder for end-to-end learning of IoBNT communications (Proceedings Article)

In: Proceedings of the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024.

(Links | BibTeX)

18.

Pengjie Zhou; Pit Hofmann; Juan A. Cabrera; Frank H. P. Fitzek

Detection algorithm study for a microfluidic molecular communication testbed setup (Proceedings Article)

In: Proceedings of the Workshop on Molecular Communications (MolCom), 2024.

(Links | BibTeX)

19.

Pit Hofmann; Pengjie Zhou; Changmin Lee; Martin Reisslein; Frank H. P. Fitzek; Chan-Byoung Chae

Dataset for the simulation of microfluidic molecular communication using OpenFOAM (Miscellaneous)

Dataset at IEEE DataPort, 2023.

(Links | BibTeX)

20.

Pit Hofmann; Juan A. Cabrera; Riccardo Bassoli; Frank H. P. Fitzek

A comparative study of linear block channel codes in macroscale molecular communications (Proceedings Article)

In: Proceedings of the European Wireless (EW), 2023.

(Links | BibTeX)

25 entries « 2 of 3 »