A5085641809- Building Energy and Comfort Optimization
- Human Mobility and Location-Based Analysis
- Smart Grid Energy Management
- Internet Traffic Analysis and Secure E-voting
- Video Surveillance and Tracking Methods
- Impact of Light on Environment and Health
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Infection Control and Ventilation
- Thermal Regulation in Medicine
- Advanced Sensor and Energy Harvesting Materials
- Refrigeration and Air Conditioning Technologies
- Digital Radiography and Breast Imaging
- Urban Heat Island Mitigation
- Green IT and Sustainability
- Bacterial Genetics and Biotechnology
- Advanced X-ray and CT Imaging
- Electronic Packaging and Soldering Technologies
- Fungal and yeast genetics research
- Infrared Thermography in Medicine
- Privacy-Preserving Technologies in Data
- Network Packet Processing and Optimization
- Advanced Bandit Algorithms Research
- EEG and Brain-Computer Interfaces
- Smart Parking Systems Research
Columbia University
2016-2023
Albert Einstein College of Medicine
2022
Stanford University
2019-2020
University of the Pacific
2016
Icahn School of Medicine at Mount Sinai
2016
Eunice Kennedy Shriver Center
2015
Eunice Kennedy Shriver National Institute of Child Health and Human Development
2015
Carnegie Mellon University
2014-2015
Uniformed Services University of the Health Sciences
2013-2015
Princeton University
2011
Abstract Mitofusins reside on the outer mitochondrial membrane and regulate fusion, a physiological process that impacts diverse cellular processes. are activated by conformational changes subsequently oligomerize to enable fusion. Here, we identify small molecules directly increase or inhibit mitofusins activity modulating mitofusin conformations oligomerization. We use these better understand role of in function, signaling. find activation increases, whereas inhibition decreases fusion...
In this article, we present recEnergy, a recommender system for reducing energy consumption in commercial buildings with human-in-the-loop. We formulate the building optimization problem as Markov decision process, show how deep reinforcement learning can be used to learn energy-saving recommendations, and effectively engage occupants actions. recEnergy is that learns actions high-energy-saving potential, actively distributes recommendations building, utilizes feedback from better...
Brain-derived neurotrophic factor (BDNF) plays a key role in energy balance. In population studies, SNPs of the BDNF locus have been linked to obesity, but mechanism by which these variants cause weight gain is unknown. Here, we examined human hypothalamic expression association with 44 SNPs. We observed that minor C allele rs12291063 associated lower ventromedial (p < 0.001) and greater adiposity both adult pediatric cohorts values 0.05). further demonstrated major T for possesses binding...
Individual perspiration level indicates a person's physical status as well their comfort level. Therefore, continuous measurement enables people to monitor these conditions for applications including fitness assessment, athlete monitoring, and patient/elderly care. Prior work on (sweat) sensing required the user either be static or wear adhesive sensor directly skin, which limits users' mobility comfort. In this paper, we present novel conductive thread-based textile that measures an...
Background This study examines the effect of initiating medications with anticholinergic activity on cognitive functions older persons. Methods Participants were 896 community-dwelling, Catholic clergy without baseline dementia. Medication data was collected annually. The Anticholinergic Cognitive Burden Scale utilized to identify use a medication probable or definite activity. had at least two annual evaluations. Results Over mean follow-up 10 years, rate global function decline for never...
Magnetic Resonance Imaging (MRI) suffers from several artifacts, the most common of which are motion artifacts. These artifacts often yield images that non-diagnostic quality. To detect such prospectively evaluated by experts for their diagnostic quality, necessitates patient-revisits and rescans whenever quality scans encountered. This motivates need to develop an automated framework capable accessing medical image detecting images. In this paper, we explore convolutional neural...
Vehicle flow estimation has many potential smart cities and transportation applications. Many have existing camera networks which broadcast image feeds; however, the resolution frame-rate are too low for computer vision algorithms to accurately estimate flow. In this work, we present a deep learning framework vehicle tracking. We demonstrate novel tracking pipeline enables accurate estimates in range of environments under constraints. that our system is able track vehicles New York City's...
Dendritic cells (DCs) play a pivotal role in the development of effective immune defense while avoiding detrimental inflammation and autoimmunity by regulating balance adaptive immunity tolerance. However, mechanisms that govern effector regulatory functions DCs are incompletely understood. Here, we show DC-derived nitric oxide (NO) controls DC differentiation. Mice deficient NO-producing enzyme inducible synthase (iNOS) harbored increased produced interleukin-12, tumor necrosis factor (TNF)...
Commercial buildings consume a large portion of the total electricity in United States. One method for energy saving commercial targets inefficiencies unoccupied spaces by relaxing setpoint temperature. However, savings are severely limited when occupants assumed to be "immovable objects"; instead, encouraging occupant participation optimization, much greater amount can achieved. In this work, we build on idea and introduce recommendations based location. We two types location: move...
We present the design and implementation of RECA, a novel human-centric recommender system for co-optimizing energy consumption, comfort air quality in commercial buildings. Existing works generally optimize these objectives separately, or by only controlling consuming resources within building without directly engaging occupants. develop deep reinforcement learning architecture based on multitask learning, demonstrate how it can be used to jointly learn savings, improvements different...
There is a lack of automated tools that utilize artificial intelligence to monitor mental health. The status examination (MSE) an important tool used by health providers for assessing Currently, MSEs are conducted licensed professionals, which barrier patients in low income and remote areas. We propose AI-based personal online (aiMSE), the first interactive MSE platform. Users can use aiMSE self-administer at home through web browser, using only camera microphone. uses multimodal image,...
Intrusion prevention systems (IPSs) not only attempt to detect attacks but also block malicious traffic and pro-actively tear down pertinent network connections. To effectively thwart attacks, IPSs have operate both in real-time inline fashion. This dual mode renders the design/implementation more importantly testing of a challenge. In this paper, we propose an IPS framework termed Evaluator which consists trace-driven simulator-engine, mechanisms for generating manipulating test cases,...
We propose a system that tracks each occupant's personal share of energy use, or "energy footprint", inside commercial building environments, and provides insights to occupants on the real-time impact their actions. new space-centric policy for fair apportionment in shared environments demonstrate method automatically determining zones. design implement ePrints - tracking personalized usage real-time. supports different policies, with μs-level footprint computation time graceful scaling size...
Energy footprinting has the potential to raise awareness of energy consumption and lead saving behavior. However, current methods are largely restricted single buildings; these require occupancy monitoring sensor deployments, which can be expensive difficult deploy at scale. Further, for estimating population cannot provide fine enough temporal or spatial granularity a reasonable personal footprint estimate. In this work, we present CityEnergy, data-driven system city-wide estimation...
We propose a system that tracks each occupant’s personal share of energy use, or “energy footprint,” inside commercial building environments and provides insights to occupants on the real-time impact their actions. new space-centric policy for fair apportionment in shared demonstrate method automatically determining zones. In this work, we design implement ePrints, tracking personalized usage real-time. ePrints supports different policies, with microsecond-level footprint computation time...
The smart buildings today have various sensors to monitor its energy consumption, and will automatically adjust itself based on occupancy. However, current approaches are optimized for reducing consumption while preserving user experience. We believe that proactively modifying occupants' behavior is necessary further reduce their footprint. built a system send personalized detailed saving tips occupants, in order help them save would otherwise be wasted unknowingly.
Perspiration level monitoring enables numerous applications such as physical condition estimation, personal comfort monitoring, health/exercise and inference of environmental conditions the user. Prior works on perspiration (sweat) sensing require users to manually hold a device or attach adhesive sensors directly onto their skin, limiting user mobility comfort. In this paper, we present low-cost novel wearable sensor system that is able accurately estimate an individual's sweat based...
With the recent societal impact of COVID-19, businesses and government agencies have turned to thermal camera based skin temperature sensing technology help detect affected civilians. However, cost deployment restrictions limit widespread use these technologies. In this work, we present a low system on an RGB-thermal for continuously detecting estimating facial features multiple people. This detects tracks heads in RGB domains, constructs models individual features, environmental surface...
Sessions generated by Instant Messaging and Peer-to-Peer systems (IM/P2Ps) not only consume considerable bandwidth computing resources but also dramatically change the characteristics of data flows affecting both operation performance networks. Most IM/P2Ps have known security loopholes vulnerabilities making them an ideal platform for dissemination viruses, worms, other malware. The lack access control weak authentication on shared further exacerbates situation. Should be deployed in...