A5091843660- Crime Patterns and Interventions
- Crime, Illicit Activities, and Governance
- Criminal Justice and Corrections Analysis
- Wildlife Conservation and Criminology Analyses
- Crime, Deviance, and Social Control
- CCD and CMOS Imaging Sensors
- Homelessness and Social Issues
- Policing Practices and Perceptions
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Data Analysis with R
- Bullying, Victimization, and Aggression
- COVID-19 epidemiological studies
- Gun Ownership and Violence Research
- Forensic and Genetic Research
- Ocular and Laser Science Research
- Fire effects on ecosystems
- Metal and Thin Film Mechanics
- Advanced Optical Sensing Technologies
- Urban Design and Spatial Analysis
- GaN-based semiconductor devices and materials
- Data-Driven Disease Surveillance
- Social and Intergroup Psychology
- Intimate Partner and Family Violence
- Traffic and Road Safety
- Image Processing Techniques and Applications
University of South Florida Sarasota–Manatee
2023-2025
University of South Florida
2022-2023
University of Colorado Colorado Springs
2017-2021
University of Colorado System
2021
University of Cincinnati
2014-2016
Samsung (South Korea)
2008-2012
That crime is concentrated at a few places well established by over 44 studies. This true whether one examines addresses or street segments. Additionally, among offenders and victims. Many physical, biological, social phenomena are as well. raises question: more less than other phenomena? If it not, then concentration maybe the result of standard ubiquitous processes that operate in nature. phenomena, researchers need to ask why. We synthesize results from three systematic reviews review...
Interpretations of two bodies crime-place research conflict. Land use and crime studies claim particular facilities increase crime. Risky show most places a single type have little or no crime, but few that great deal How can facility be generally criminogenic mostly safe? To resolve this conflict, we make the fact owner own multiple each may consistent management practices in their facilities. We first replicate findings earlier land with parcel data from Cincinnati. Second, cluster parcels...
This study explores the effectiveness of machine learning algorithms in predicting recidivism, focusing on impact race and geographic location variables. Leveraging a dataset from prisons Georgia, we assess six algorithms’ forecasting performance, both with without these key Our findings indicate that generally enhances predictive accuracy more consistently than across models. research highlights importance methodological diversity complex, model-dependent demographic factors recidivism...
This study examines how place management practices influence crime distribution at pot shops. We assess whether these explain the varying levels observed across different Using data from Colorado Springs, Colorado, we apply a Poisson to compare expected and actual distributions among shop owners. Multilevel regression models are then employed quantify extent which variation can be attributed ownership. Our results indicate that approximately 25% of variance in is practices. Importantly, even...
Real-time crime hot spot forecasting presents challenges to policing. There is a high volume of misclassifications and lack theoretical support for algorithms, especially in disciplines outside the fields criminology criminal justice. Transparency particularly important as most models do not provide their underlying mechanisms. To address these challenges, we operationalize two different theories our algorithm forecast spots over Portland Cincinnati. First, use population heterogeneity...
As pixel size of image sensors shrinks down rapidly, we are reaching technical barrier to get the required low light performance. In this paper, recent advanced technologies such as backside illumination, new color filter array, F-number with extended depth field technologies, etc. introduced overcome a barrier. It is shown that integration these sensor can make shrink toward 1.0 mum
The primary objectives of this research are (1) to introduce summary measures concentration that relatively new our field; (2) compare four determine whether there reasons use one in favor the others; and (3) apply a real-case data further understand phenomenon. Using crime Cincinnati, we commonly used social science concentration: Gini, Simpson, Shannon, Decile indices. For some purposes, interchangeable, while for other purposes may suggest different interpretations same set data. This...
Though substantial amount of research routine activities/opportunity theory investigated the relationship between land use and crime, very few studies considered various types uses at micro-scale area. Using 2013 crime data geocoded on 500-ft2 grid cells overlaid Pittsburgh, results from multivariate regression models show that certain facility such as retail shops, schools bus stops increase number crimes cells. Further that, net socioeconomic factors, in a cell varies both by type....
This study examines the effect that individuals' perceptions of police have on their adoption crime prevention measures. Unlike past research conceptualized as inversely associated with prevention, we introduce a framework distinguishes between traditional policing and community policing/procedural justice models. We analyze multilevel data from Canada's General Social Survey for 13 measures (e.g. locking doors, installing burglar alarms), estimate Item Response Theory models to account...
Abstract Sexual harassment and gang rape in Egypt have garnered attention from both traditional digital media. This study employed a volunteer HarassMap to analyse sexual crimes (SHCs) across spatial perspective. The specific aims were apply the Hierarchical Density‐Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm locate clusters reported SHCs, assess their dependence on land use types. To accomplish this task, ring buffers 100, 200, 300, 400, 500 metres established...
By operationalizing two theoretical frameworks, we forecast crime hot spots in Colorado Springs. First, use a population heterogeneity (flag) framework to find places where the spot forecasting is consistently successful over months. Second, state dependence (boost) of number crimes periods prior forecasted month. This algorithm implemented Microsoft Excel®, making it simple apply and completely transparent. Results shows high accuracy efficiency forecasting, even if data set type used this...
Correctional authorities require accurate, unbiased, and interpretable tools to predict individuals’ chances of recidivating if released into the community. However, existing prediction models have serious limitations meeting these requirements. We overcome by applying an established medical diagnostic approach: a relaxed naïve Bayes classifier. Using logistic regression in form classifier, we estimate weights observed features offenders on recidivism. apply classifier probability Results...
This paper presents a BSI(backside-illumination) 14µm-pixel QVGA CMOS image sensor SOC(System On Chip) measuring TOF(Time-Of-Flight) by 20MHz-intensity modulation of 850nm-wavelength light. The 34% overall QE(Quantum Efficiency) at is acquired BSI structure and optimized micro-lens. DE(Depth Error) less than 1.5% within 6m achieved with imaging lens f/1.2 LED array which the optical intensity 0.6W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
This study examines school-based crime prevention tactics using a place management framework in conjunction with deterrence and labeling theoretical perspectives. We examine the effects of four different aspects on student offending explore whether how are distinctive for female versus male students. analyze survey data from students principals across three waves Rural Substance abuse Violence Project multilevel-binomial models. Findings reveal that several interacted gender, thus...
This study examines deviant identity in relation to youth offending by combining items tapping both self-appraisal and reflected appraisal. In particular, using survey data from 3,446 Korean across five waves of the Korea Youth Panel Survey (KYPS), findings group-based trajectory modeling (GBTM) present four distinct groups—a high-rate chronic group, stable non-offending adolescence-limited declining group. Then, multinomial logit model reveal that is a robust predictor for subgroups...