Knight Vision Lab (KVL)
The Knight Vision Lab conducts pioneering research on infrared imaging technologies spanning materials and components to systems and applications. We have three primary activities:
- Metasurface aberration correctors to improve performance, size and cost of infrared lenses.
- Vision-based navigation using imagery to determine geolocation.
- Sensing technologies from small UASs.

KVL & IR Systems Group at SPIE DCS 2023

News & Info
- Conducted remote sensing data collection at Eglin AFB with ARL and Chicken Little
- Started round 2 for python detection – we are now building a drone-based system
- May: KVL presents 5 papers at SPIE Defense and Commercial Sensing Symposium
- Alex graduates with his B.S. in ECE (Surprise!)
- Completed field test at Big Oaks Ranch for VISNAV and MUAS projects (see video below)
- Hank interns at Metalenz (summer)
- Li interns at Amazon, Machine Vision and Optical Engineering team (Fall)
- Congraduations to Pooya, Sajad and Zhao for defending their PhD theses this spring!
- April: 5 papers presented at SPIE Defense and Commercial Sensing – a record for KVL
- Pooya and Sajad’s paper on visible light communications came out in JLT
- Ko-Han’s metasurface lens paper in Opt. Exp. featured as an Editor’s Pick
- July: 4 KVL members concluded a successful week of data collection in Memphis with collaborators
- KVL leads a $4M award to research targeting technologies for high-energy lasers
- KVL welcomes two new members, Oles and Eunmo, to do research in active targeting systems
- Congratulations to Robert for defending his PhD thesis this Fall!
- Dec: 6 KVL members participated in a data collection event in the Santa Rita Experimental Range near Tucson.
- Heath successfully defended his thesis, congratulations Dr. Gemar!
- TFO Lab changes name to Knight Vision Lab to better reflect our research focus on imaging technologies.
- TFO spearheads a collaboration on vision-based navigation [read more]
- Heath’s paper on MWIR nanoaperture filters published in Opt. Mat. Exp.
- Jen’s python detection work published in App. Opt. was featured in local [1,2] and national news [3,4]
- May 16: TFO summer party celebrates an end to COVID isolation
- Cesar wraps up his senior design and research thesis to graduate with honors!
- Robert presents thermal contrast enhancement using multiple thermal bands at SPIE DCS
- Zhao’s Volumetric Imaging Efficiency (VIE) paper published in Opt. Exp.
- COVID happened = 2020 🙁
- Cesar wins best poster at the UofA Winter School of Optics
- Cesar wins Distinguished Undergraduate Research Award
- Sajad and Pooya present VLC Transmitter at MobiCom/LIoT
- Sajad presents PICO Array development at CLEO
- The TFO group expands: welcome new team members!

- Cesar receives Most Outstanding Summer Researcher from AFRL.
- Zhao’s JAP paper receives editor’s pick and is featured in Scilights.
- Sajad wins best poster at the IEEE Summer Topical meeting for “Photonic Integrated Circuit Outcoupling (PICO) Arrays for Free-Space Optical Communications.”
- Sajad is selected for a summer internship at IMEC-Florida.
- Sajad wins best poster at the Industrial Affiliates Symposium for “Camera/Inverse-Camera System for Free-Space Optical Communications.”
- Cesar is accepted for a summer internship at AFRL.
- Sajad presents an Inverse-Camera System for Optical Wireless Communications at Frontiers in Optics
- Dr. Renshaw presents a switchable organic photodiode at OSA Imaging Congress
- Dr. Renshaw awarded AFRL Summer Faculty Fellowship
- Zhao presents a poster on curved sensor fabrication at SPIE Defense and Commercial Sensing
- Angstrom deposition tool is installed; first films grown and OPD/OLED devices fabricated
- TFO Lab is completed!
Current Research
Drone-based Remote Sensing
Rapid proliferation of Class 2 drones (<55 lb) presents many new opportunities for remote sensing. We are working with U of Memphis, U of Arizona and Army Research Lab to develop cooperative remote sensing capabilities using multiple drones to search or map large areas in an coordinated manner. We are also deploying numerous sensing modalities onto small drones for various sensing applications.
Volumetric Imaging Efficiency (VIE)
Major investments are pouring into a wide variety of optical materials and lens technologies such as metamaterials, free-form surfaces, printed or molded optical glass and plastics, gradient index materials and manufacturing curved image sensors. These all seek to achieve the same objective – make optical systems (and usually imaging systems) perform better, cost less or become smaller. But which technology stands to provide the best improvement or the best bang for your research buck? We developed the VIE metric in an attempt to answer that question from a technology-agnostic perspective. The VIE is a measure of the resolution density of an imaging optic compared against the most dense system possible based on fundamental limits of diffraction.
We collected >2800 lens designs and showed an empirical limit to the VIE of conventional imaging systems – using bulk optics imaging onto flat sensors. The limiting VIE decreases exponentially with FOV. We show examples of bulk lenses imaging onto curved sensors and metasurface lenses that surpass conventional systems by ~100x. These technologies particularly excel in wide angle applications where conventional lenses grow to become very bulky.



Multi-Metasurface Lenses
Metasurface lenses use sub-wavelength, nanostructured scattering features to to control light in new ways. For example, flat lenses mimic the phase delay of a conventional, bulk lens by engineering the effective index to give the same profile across a planar surface. Flat singlets, doublets and achromats have already been fabricated and demonstrated in laboratory camera systems. Challenges abound related to scattering efficiency, dispersive characteristics and scaling challenges. We are working to address MS scaling by combining bulk lenses for primary power and MS lenses for aberration correction. This work includes modelling and simulation, optical design, nanofabrication in the cleanroom and optical test and characterization. Multiscale modelling and simulation spans full-wave FDTD simulations in Lumerical to geometric ray tracing in Zemax with aid from inverse design optimization for design down to individual meta-atom placements across the surface.



Curved Image Relays based on
MWIR/LWIR coherent fiber bundles
The DARPA SCENICC program demonstrated viability of curved image relays to enable compact, wide-angle imaging systems in the visible. We are collaborating with experts in chalcogenide glass growth and fiber drawing (all at CREOL) to manufacture high-resolution and large format coherent fiber bundles for thermal imagers in the midwave (MWIR) and longwave (LWIR) infrared bands. We are fabricating these novel optics to relay curved images to flat sensors to enable a new breed of compact, wide-angle and high-resolution thermal imagers.


Python Detection System
Burmese pythons are invading the everglades and destroying the natural ecosystem. We are working with the Florida Fish and Wildlife Commission (FFWC) to develop a near-infrared python detection system comprised of a multi-camera array and automated detection algorithms. The system is in development and we are actively working with the FFWC and contracted hunters to test the system effectiveness.





Vision-Based Navigation
GPS has revolutionized life and technology but what happens when it fails or is jammed? We are developing vision-based navigation technologies for ground vehicles that use imagery and geospatial data to estimate location. Fusing thermal infrared imagery with other sensors provides a robust navigation solution day or night to augment traditional GPS.






Imaging-Based Beam Steering
We have introduced a new beam-steering mechanism that utilizes the passive mapping between spatial and angular coordinates provided by an imaging optic. This can provide high-resolution beam steering over a wide field-of-regard with no moving parts in a compact and low-power system; overcoming many of the problems inherent in conventional beam-steering approaches using moving mirrors, phased-arrays or spatial light modulators.


People
Principle Investigator
Dr. Kyle Renshaw directs the Knight Vision Lab. He is an assistant professor of optics with joint appointments in the department of physics and electrical and computer engineering.
Research Scientist
Dr. Jeremy Mares is a Research Scientist in KVL specializing in imaging systems and related technologies.
Principle Collaborators
Dr. Ron Driggers directs the Infrared Systems Group at the Univ. of Arizona and collaborates with KVL broadly across applied imaging and infrared technology developments.
Dr. Eddie Jacobs is a Professor of Electrical Engineering at the University of Memphis. His team spearheads our joint effort in remote sensing using drones.
Graduate Students
Undergraduate Researchers
Group Photo - Spring 2021

Alumni
PhD
Ko-Han Shih, Optics Ph.D., Spring 2024, ,
Pooya Nabavi, Electrical & Computer Engineering 2022
MS
Jitesh Parapoil, Electrical & Computer Engineering 2025Manu Pillai, Electrical & Computer Engineering 2025
Trey Hoff, Optics 2021
, ,
BS
, ,Cesar Lopez-Zelaya, Photonic Science & Engineering B.S., Spring 2021
Austin Brigham, Photonic Science & Engineering B.S., Spring 2022
Austin Horvath, Photonic Science & Engineering B.S., Spring 2022