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Bioelectronic Synergy Lab

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The Bioelectronic Synergy Lab is recruiting motivated researchers to join our growing program at the University of Houston. With our lab infrastructure now consisting of state-of-the-art capabilities, we are pursuing high-impact research at the intersection of bioelectronics, tissue engineering, and machine learning, with applications spanning mental health and neurophysiology, cancer immunotherapy and radiation monitoring, and cardiac systems. We also welcome inquiries from potential collaborators in academia and industry.

Now recruiting: PhD Masters Undergraduate Postdoctoral
Email Dr. Faheem fershad@central.uh.edu

Research Focus Areas

Mental Health & Neurophysiology

Flexible neural interfaces, wearable brain-monitoring systems, and bioelectronics for studying neurophysiological signals and interventions.

Cancer Immunotherapy & Radiation Monitoring

Electroactive biomaterials for immunomodulation, bioelectronic scaffolds for cell-based therapies, and sensing platforms for tracking treatment efficacy.

Hybrid Cardiac Engineered Tissues and Bioelectronics

3D bioprinted cardiac tissues, vascularized constructs, wireless stimulation, and physiological monitoring devices for cardiovascular applications.

Explore our research

Lab Capabilities

BioAssemblyBot 400 robotic bioprinter in the Bioelectronic Synergy Lab.

3D Bioprinting & Biofabrication

A 6-axis robotic bioprinter (BAB400) for vascularized tissue constructs and soft electrode fabrication.

Holmarc BSC-100 spin coater and vacuum pump for thin-film deposition in the Bioelectronic Synergy Lab.

Soft Electronics Fabrication

Spin coating, UV-ozone treatment, conductive-ink patterning, and microfabrication capabilities.

VWR CO2 incubators and a Thermo Scientific biosafety cabinet in the Bioelectronic Synergy Lab cell culture facility.

Multi-Cell-Type Culture Facility

iPSC-derived cardiomyocytes, human endothelial cells (HUVEC/HAEC), and co-culture systems.

Probe station with a stereo microscope and a Keithley SourceMeter for device characterization in the Bioelectronic Synergy Lab.

Device Characterization Suite

Semiconductor analyzer, electrochemical sensing station, and optical and fluorescence microscopy.

Intan 512-channel RHD electrophysiology recording controller on a laboratory bench.

Electrophysiology & Biosignal Acquisition

Intan MEA2100 for cellular electrophysiology and RHD controllers for human physiological signals.

Benchtop plate-reader instrument for biological assays and analysis in the Bioelectronic Synergy Lab.

Biological Assays & Analysis

Flow cytometry, immunoassays, calcium imaging, and live/dead staining.

Researchers working with fabrication and microscopy equipment in the University of Houston Nanofabrication Facility cleanroom.

Access to Advanced Facilities

UH Nanofabrication Facility (photolithography, sputtering, e-beam evaporation) and core imaging.

Who Should Apply?

We are seeking motivated individuals with backgrounds in one or more of the following areas:

Biomedical Engineering & Life Sciences

  • Physiological signal acquisition (EEG, ECG, EDA, bioimpedance, blood pressure).
  • Cell culture: iPSC-derived cells, primary culture, and co-culture systems.
  • Tissue engineering: bioprinting, 3D scaffold fabrication, and perfusion systems.
  • In vitro assays (flow cytometry, ELISA, immunostaining, confocal imaging) and in vivo testing.

Electrical Engineering

  • Flexible/stretchable electronics fabrication and characterization.
  • Multimodal biosignal processing and analysis.
  • Circuit design (analog front-ends, PCB), embedded systems, and low-power wireless for implantables.
  • Sensor integration and system-level optimization.

Materials Science & Chemistry

  • Biocompatible materials such as hydrogels and synthetic polymers.
  • Conductive and semiconducting materials.
  • Nano- and microfabrication techniques.
  • Materials characterization (SEM, rheology, mechanical testing, EIS) and surface functionalization for biointegration.

Computer Science & Machine Learning

  • Machine learning for biosignal classification and pattern recognition.
  • Deep learning (CNNs, RNNs, transformers) for physiological data.
  • Real-time adaptive algorithms for closed-loop bioelectronic systems.
  • Signal processing, feature extraction, and visualization for multimodal datasets.

Benefits

Join this collaborative lab with potential opportunities to:

  • Work on cutting-edge research projects
  • Gain hands-on experience with fabrication, signal analysis, and preclinical testing
  • Publish in high-impact journals and present at top conferences
  • Build connections with collaborators in academia and industry

To apply, email Dr. Faheem at fershad@central.uh.edu with a detailed CV or resume, unofficial transcripts and GPA, a brief one-page statement of your research interests and motivation, and copies of relevant publications (if any).