Milos Systems

[Urbano Bozman]

ProfessorMilos Doroslovacki conducts research in signal processing, communication signals and systems, discrete-time signal and system theory, and wavelets and their applications. Recent projects have been centered on adaptive wavelet-based echo cancellation for voice transmission over digital networks, attitude rate estimation using GPS, techniques for automatic recognition of modulations, sparse system identification, distributed estimation, Bayesian learning, machine learning, and signal processing for hardware security.

The focal area of research is on advancing precision pesticide application technologies, aimed at improvements in decision-making, optimizing pesticide use to enhance crop yields and minimize environmental impacts. Research will include but not limited to investigation of various integrated pest management strategies, employing a comprehensive method to effectively tackle challenges related to weeds, insects, and diseases in row and specialty crops. A critical aspect will involve evaluation of the performance and efficiency of a wide range of pesticide application technologies available worldwide and feasibility of integration into existing cropping systems.

The extension interests will focus on enhancing agricultural practices through the education of producers in emerging pest management technologies, emphasizing the use of advanced methods to improve the resilience and sustainability of cropping systems. This involves organizing various educational activities such as workshops and seminars. Additionally, there is a strong commitment to developing additional educational content on safe and effective pesticide use, alongside active engagement with diverse stakeholders including farmers, government agencies, and the pesticide industry, to understand their needs and assess the impact of these programs.

I am an Associate Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. My main research interests are in software engineering and formal methods with focus on improving software quality and developers' productivity. I have been working on software testing (test generation and regression testing), proof engineering, systems-supported software engineering, and software engineering for scientific computing. My research has been supported by Army Futures Command, Cisco, DOE, Google, Huawei, NSF, Runtime Verification, and Samsung.

I am a PhD student in the Department of Computer Science at the University of Illinois at Urbana-Champaign. I work with Darko Marinov. My main research interests are software engineering and formal methods with focus on improving software quality via software testing and software model checking.

I obtained my Ph.D. from the University of Illinois at Urbana-Champaign in 2015, advised by Darko Marinov. I finished my M.Sc. in Software Engineering at the School of Electrical Engineering, University of Belgrade, Serbia, where I previously received my B.Sc. in Computer Science and Engineering.

Use conventional western antibodies to validate your single-cell RNA-seq data with single-cell protein data. Plus, scWest chips can be archived for up to 9 months after you run them so you have plenty of time to get your sequencing results back before you have to probe for your targets of interest.

Simultaneously detect 12+ proteins in your sample, all at the single-cell level, using spectral and size-based multiplexing strategies. You can even strip & reprobe scWest chips up to 9 times for higher multiplexed studies!

Eliminate the fixation and permeabilization steps of flow/FACS! Milo chemically lyses the cells captured on the scWest chip before analysis to gain access to intracellular and intranuclear compartments more easily than with flow cytometry. By lysing the cells, Milo can detect challenging proteins like transcription factors and even methylated histones! You can also use Milo's sizing step to separate out non-specific binding, which is more common with phospho-specific antibodies and cannot be resolved with flow.

Milo is an open platform so you can use the large commercial catalog of Western antibodies which is 10-100x larger than the flow/FACS catalog. Don't get stuck without a flow antibody against your target of interest again.

Milo's molecular weight sizing step can resolve protein isoforms that differ in molecular weight, allowing you to measure how many cells in your sample express one isoform, the other isoform, or both isoforms. Try that with flow!

Milo can quantify the percentage of cells in your sample that express an inserted gene, even in low efficiency systems. Plus, you can simultaneously measure your edited gene and downstream effect markers to understand the impact of the gene on the cells that have been edited.

Milo can analyze samples which contain as low as 10,000 single-cells so you no longer have to have collect millions of cells to analyze protein expression. The number of cells captured scales with the number of cells loaded so even lower abundance samples are possible. Milo can also characterize highly enriched FACS-sorted cell populations which don't contain enough cells to analyze with other techniques.

"We have been pairing Milo with single-cell real time qPCR data. We have the RNA and we know the transcripts are present. We used Milo to confirm our results and quantify the amount of protein that is in each individual cell."

Computer architecture and physical side channels. This includes beneficial uses of side channels, e.g. using side channels for program monitoring, profiling, detection of malware, detection of malicious hardware, etc. My interest in computer architecture also includes hardware support for secure execution, multi-core perfomance, including synchronization, transactional execution, etc.

Haider A. Khan, Nader Sehatbakhsh, Luong N. Nguyen, Robert Callan, Arie Yeredor, Milos Prvulovic, and Alenka Zajic,

IDEA: intrusion detection through electromagnetic-signal analysis for critical embedded and cyber-physical systems,

to appear in IEEE Transactions on Dependable and Secure Computing.

Haider Khan, Monjur Alam, Alenka Zajic, and Milos Prvulovic,

Detailed tracking of program control flow using analog side-channel signals: A promise for IoT malware detection and a threat for many cryptographic implementations,

International Society for Optics and Photonics SPIE Cyber Sensing Security+Defense Conference}, April 2018.

LIME: A Framework for Debugging Load Imbalance in Multi-threaded ExecutionJungju Oh, Christopher J. Hughes, Guru Venkataramani, Milos Prvulovic

Proceedings of the 33rd International Conference on Software Engineering (ICSE), Pages 201-210, May 2011frames are not supported

Linked thinking and the many "tools for thought" apps that have been released over the past few years, have changed the discourse on how we take in and process information. Bolstered by the subcultural success of Sonke Ahrens' How to Take Smart Notes, a self-published polemic on the benefits of using Niklas Luhmann's zettelkasten methodology, the PKM world has since become googly-eyed smitten with all things "linked."

Presented as both a "publication machine"1 and a way to write books "effortlessly"2, the zettelkasten has understandably been the subject of much discussion online, especially for note takers and writers interested in upping their creative output.

Consequently, this spike in popularity has introduced the methodology to note takers from a myriad of different intellectual backgrounds, each with their own agenda on how they'd like to use it, many wanting the system to be more than what it is; do more than what it does. Some want their zettelkasten to double as a project management system. Others, a life operating system. Still, others want their zettelkasten to function as a comprehensive second brain, while others hope to turn it into a "digital garden." It's when these questions arise, that I find myself referring people not to the beloved "ZK," but toward Nick Milo's flagship PKM methodology, Linking Your Thinking (LYT).

Earlier this year, I had the pleasure of taking Nick Milo's LYT course and recently had the chance to speak with him about his system in the hopes of teasing out what distinguishes our respective PKM systems from one another. Based on what I learned and have implemented for myself, I can say with confidence that the two methodologies are distinct, in some ways compatible, but in no way interchangeable. Both have something wonderful to offer the modern note taker. But, Linking Your Thinking and zettelkasten remain two different ways to achieve similar, but ultimately different goals.

The most well-known slip-boxes in the world have been employed by writers in service of their writing. Variations of the system date back to the 17th c.,3 and modern writers such as, Umberto Eco, Arno Schmidt, and Hans Blumenberg are all known for employing some version of the slip-box to capture, collect, organize, and transform notes into published work. Of course, today, the most famous zettelkasten is the one used by Niklas Luhmann, who, through "communicating with his slip box," published more than seventy five books and five hundred articles.4

Nick Milo developed the LYT methodology6 during one of the most tumultuous political climates in recent US history. It was 2016 and the US was plunging into social and political polarization. Many of us, especially on the left, felt that Trump winning the election, along with the appointing of vocal white nationalists, was a wake-up call-to-action. It was also a time riddled with anxiety. To balance the confusion that came with social upheaval, each of us created our own version of stability. For Nick, that stability was found in the ancient, Western philosophical tradition.

Looking for a through-line based not on the latest news cycle or feverishly typed early morning tweet, Nick leaned into two-thousand-year-old written works in order to orient himself. Thanks to a combination birthday/Christmas gift from his mother, Nick now had a subscription to the complete digital Loeb Classical Library, and quickly realized that he needed a way to capture, connect, and retrieve the new wealth of information at his fingertips.

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