Sergio Nesmachnow

• Ph. D., Full Professor (Gr. 5), Researcher
• Professor at Universidad de la República de Uruguay

Solar chimneys are renewable energy systems that increase natural ventilation to provide thermal comfort in buildings. Solar chimneys are passive systems that effectively improve energy efficiency in a sustainable and environmentally friendly manner. The design of the solar chimney and its location, which is in cardinal directions, are essential for e...

The Industry 4.0 paradigm has emerged to enhance the efficiency, productivity, and adaptability of industrial processes. Within this context, process optimization plays a crucial role. This work introduces a novel bi-objective nonlinear mathematical programming (NLP) model aimed at optimizing the operation of a physicochemical phosphorus removal syst...

This chapter presents an evolutionary algorithm approach, applying a genetic algorithm to address the practical problem of planning corridors in a specific geographical area. The corridor location problem involves identifying a near-optimal set of spatial alternative paths between two locations to determine the best route for the right of way, cons...

This chapter presents a novel multiobjective evolutionary approach for determining flight plans for a fleet of unmanned aerial vehicles engaged in exploration and surveillance missions. The study addresses the static off-line planning subproblem, to determine flight routes to optimize the explored area and enhance the surveillance of points of inte...

Unsteady-state heat transfer problems require considerable computation time for the numerical solution, due to the high space-time dimensionality of realistic scenarios. This article presents a parallel multi-threading global energy balance method for the thermal evaluation of a room in unsteady state composed of different materials. The parallel n...

This work addresses the reduction of power consumption of the AODV routing protocol in vehicular networks as an optimization problem. Nowadays, network designers focus on energy-aware communication protocols, specially to deploy wireless networks. Here, we introduce an automatic method to search for energy-efficient AODV configurations by using an...

The VII Ibero-American Congress of Smart Cities (ICSC-CITIES 2024) was held in a hybrid way (presential and virtual) from November 12th to 14th, 2024, in San Carlos, hosted and sponsored by econolgicodeosta ica. Researchers from 34 countries gave 93 technical presentations during the ICSC-CITIES 2024. Fourteen papers were included as posters. Paper...

This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are important research topics, specially when deploying wireless mobile networks. This article introduces a fast automatic methodology to search for energy-efficient OLSR config...

This article reviews the literature surrounding innovative computational tools for waste management within smart cities. With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational too...

The current landscape of massive production industries is undergoing significant transformations driven by emerging customer trends and new smart manufacturing technologies. One such change is the imperative to implement mass customization, wherein products are tailored to individual customer specifications while still ensuring cost efficiency thro...

The current landscape of massive production industries is undergoing significant transformations driven by emerging customer trends and new smart manufacturing technologies. One such change is the imperative to implement mass customization, wherein products are tailored to individual customer specifications while still ensuring cost efficiency thro...

Smart campuses introduce teaching technologies in modern higher education, employing Information and Communication Technologies, sensor networks, digitalization, and improvement process methodologies for better management of scholarly services. In this context, Lean principles are used for process improvement through muda elimination and continuous...

This article describes an approach applying computational intelligence methods for the problem of forecasting solar photovoltaic power generation at country level. Precise forecast of power generation plays a vital role in designing a dependable photovoltaic power generation system. The computed predictions enable the implementation of efficient pl...

Historically, Municipal Solid Waste (MSW) systems emerged in response to society's needs for managing manufacturing and consumption waste. However, the waste generation in modern cities present several new features that affect the MSW system. These new features include both positive aspects, such as innovative recycling techniques and increased pub...

The VI Ibero-American Congress of Smart Cities (ICSC-CITIES 2023) was held in a hybrid way (face-to-face and virtual) from November 13th to 17th , 2023, in Ciudad de México and Cuernavaca, hosted and sponsored by the Centro de Investigación en Computación of the IPN and Universidad Autónoma del Estado de Morelos, México. Seventy-five technical pres...

This article presents a performance annual evaluation of a single air-channel solar chimney with phase change material under hot-humid climatic conditions by energy balance method. The heat transfer analysis in the phase change material is performed in an unsteady state with an effective specific heat method. The experimental evaluation considers t...

This article presents a study to characterize the electricity consumption in residential buildings in Uruguay. Understanding residential electricity consumption is a relevant concept to identify factors that influence electricity usage, and allows developing specific and custom energy efficiency policies. The study focuses on two home appliances: a...

The smart industry paradigm has revolutionized the landscape of production processes, ushering in new strategies to meet evolving demands. Among these strategies, mass customization stands out, for producing nearly tailored products based on customers preferences, while still using massive production techniques that allow keeping costs burdened. Ho...

This article presents a metaheuristic approach applying simulated annealing for the Municipal Solid Waste collecting route problem in the Historical Center of Cuernavaca, Mexico. The solid waste collection route addressed requires finding an optimal collection route in the constrained polygonal area of the historical center of Cuernavaca. The exper...

This article presents a parallel-distributed implementation of the Lipizzaner framework for multiobjective coevolutionary Generative Adversarial Networks training. A specific design is proposed following the messagge passing paradigm to execute in high performance computing infrastructures. The implementation is validated for the generation of hand...

This article presents a multi-objective optimization approach aimed at minimizing the power consumption while mitigating the quality of service degradation in datacenter operations. The study holds significant relevance for datacenter and supercomputing facilities to effectively participate in the electricity market, especially in demand response e...

Featured Application The proposed bi-objective model is suitable to provide solutions for the bus synchronization problem to enhance successful transfers in public transportation, considering the cost of the system and the quality of service provided to the users. Abstract Modern cities heavily rely on public transport systems to enhance citizen a...

This article presents the application of exact and metaheuristic approaches to the problem of designing the backbone network of a hierarchically public transportation system for Montevideo, Uruguay. This is a very relevant problem in nowadays smart cities, as it accounts for many social and environmental impacts and also affects the dynamics of the...

This article presents an annual performance evaluation of single- and double-air-channel solar chimneys for natural ventilation induction under weather conditions in Mexico. The global energy balance method modeled both types of solar chimneys in an unsteady state. The case study evaluated five cities in Mexico. Experimental data of a single-air-ch...

This article presents an annual performance evaluation of single- and double-air-channel solar chimneys for natural ventilation induction under weather conditions in Mexico. The global energy balance method modeled both types of solar chimneys in an unsteady state. The case study evaluated five cities in Mexico. Experimental data of a single-air-ch...

Urban mobility and strategies for public transportation play a vital role in promoting a more sustainable, accessible, and livable urban environment in smart cities. Data-driven decision making, multi-modal integration, and innovative means are key elements in developing effective public transportation. The COVID-19 pandemic had a significant impac...

In this article, we introduces a model based on big data analysis to characterize the travel times of buses in public transportation systems. Travel time is a critical factor in evaluating the accessibility of opportunities and the overall quality of service of public transportation systems. The methodology applies data analysis to compute estimati...

RESUMEN Bajo el nuevo paradigma de la Industria 4.0, las operaciones faltantes o missing operations han surgido como consecuencia de la creciente personalización de los productos industriales en los que los clientes tienen un control ampliado sobre las características del producto final. Como resultado, esto ha modificado por completo la gestión de...

This article presents an approach applying computational intelligence for detecting the use of air conditioners in households. The main objective is determining the intensive use of air conditioning with a high level of confidence. Unsupervised (-means) and supervised (Artificial Neural Networks) approaches are developed for classifying consumers f...

Providing an efficient public transportation system is a key issue to increase the livability and sustainability of modern cities. This article addresses the bus timetabling problem for enhancing multi-leg trips or transfers. For this purpose, a mixed-integer programming model is proposed, aimed at maximizing the amount of transfers while consideri...

A smart city has a complex hierarchical communication system with various components. It must meet the requirements of fast connection, reliability, and security without data compromise. Internet of Things technology is widely used to provide connectivity and control solutions for smart sensors and other devices using heterogeneous networking techn...

This article presents an unsupervised machine learning approach for the problem of detecting use of air conditioning in households, during the summer. This is a relevant problem in the context of the modern smart grid approach under the paradigm of smart cities. The proposed methodology applies data analysis, a thermal inertial model for estimating...

This article presents the analysis of the demand and the characterization of mobility using public transportation in Montevideo, Uruguay, during the COVID-19 pandemic. A urban data-analysis approach is applied to extract useful insights from open data from different sources, including mobility of citizens, the public transportation system, and COVI...

This article presents an approach for generating synthetic velocity fields in Large Eddy Simulations. This is a relevant problem, considering the high computational effort required to simulate turbulent flows with fine resolution. The proposed approach applies a Generative Adversarial Network, considering relevant information about horizontal slice...

Cartographic information is key in urban city planning and management. Deep neural networks allow detecting/extracting buildings from aerial images to gather this cartographic information. This article explores the application of deep neural networks architectures to address automatic building extraction. The results reported that UNet-based archit...

This article presents a proposal for generating synthesized data for public transportation systems. This is a relevant problem whose solution assists the planning and operation of Intelligent Transportation Systems. The proposed methodology applies a conditional Generative Adversarial Network approach, considering relevant real information about tr...

Providing an efficient public transportation system is a key issue to increase the livability and sustainability of modern cities. This article addresses the bus timetabling problem for enhancing multi-leg trips or transfers. For this purpose, a mixed-integer programming model is proposed, aimed at maximizing the amount of transfers while consideri...

A Smart City is a framework composed mainly of Internet of Things systems and Information and Communication Technologies (ICT) integrated to develop, implement and promote sustainable development practices and face the challenges of urbanization. The Ibero-American Congress of Smart Cities (ICSC-CITIES) is a discussion forum that aims to create syn...

This article presents the analysis of a V cycle truncation level criteria in a parallel implemention of a geometric multigrid method for solving partial differential equations, developed over a distributed memory system. The proposed system is implemented in C, using the Message Passing Interface library. A theoretical analysis of the proposed trun...

This article studies the Generalized Steiner Problem with Node-Connectivity Constraints and Hostile Reliability and introduces a metaheuristic resolution approach based on Greedy Randomized Adaptive Search Procedure and Variable Neighborhood Descent. Under the hostile model, nodes and links are subject to probabilistic failures. The research focuse...

Featured Application The methodology described in this article is applicable to production planning optimization problems with multiple products that can be processed in any of several production lines, including storage and limited shelf life constraints. Abstract This article introduces a Mixed-Integer Linear Programming model for cost optimizat...

Under the novel paradigm of Industry 4.0, missing operations have arisen as a result of the increasingly customization of the industrial products in which customers have an extended control over the characteristics of the final products. As a result, this has completely modified the scheduling and planning management of jobs in modern factories. As...

A Smart City is a framework composed mainly of Internet of Things systems and Information and Communication Technologies (ICT), integrated to develop, implement and promote sustainable development practices and face the challenges of urbanization.The Ibero-American Conference on Smart Cities (ICSC-CITIES) is a discussion forum that aims to create s...

Homomorphic encryption with the ability to compute over encrypted data without access to the secret key provides benefits for the secure and powerful computation, storage, and communication of resources in the cloud. One of its important applications is fast-growing robot control systems for building lightweight, low-cost, smarter robots with intel...

This article presents a study, applying the Transit Oriented Development paradigm, of the current mobility situation for a residential zone in Parque Rodó neighborhood, Montevideo, Uruguay. The study focuses on adequately capturing the relationships between the urban environment, activities and mobility, through the analysis of several relevant ind...

This article presents an evolutionary approach for synthetic human portraits generation based on the latent space exploration of a generative adversarial network. The idea is to produce different human face images very similar to a given target portrait. The approach applies StyleGAN2 for portrait generation and FaceNet for face similarity evaluati...

This article presents an approach for energy-aware smart home planning via direct control and planning of residential electric appliances for smart cities. Energy-aware planning is a crucial concept for achieving a better utilization of resources and improving the quality of life in modern cities. In this line of work, this article proposes a stoch...

This article presents an approach for energy-aware smart home planning via direct control and planning of residential electric appliances for smart cities. Energy-aware planning is a crucial concept for achieving a better utilization of resources and improving the quality of life in modern cities. In this line of work, this article proposes a stoch...

Municipal Solid Waste systems have important economic, social, and environmental impacts for society. Within the diverse stages of the Municipal Solid Waste reverse logistic chain, the waste bin location problem consists in properly locating bins in the corresponding urban area to store waste produced by the citizens. This stage has a large impact...

Municipal Solid Waste systems have important economic, social, and environmental impacts for society. Within the diverse stages of the Municipal Solid Waste reverse logistic chain, the waste bin location problem consists in properly locating bins in the corresponding urban area to store waste produced by the citizens. This stage has a large impact...

This article presents the application of a learning-based optimization method to solve the Bus Synchronization Problem, a relevant problem in public transportation systems. The problem consists in synchronizing the timetable of buses to optimize the transfer of passengers between bus lines. A new problem model is proposed, extending previous formul...

This article introduces a dataset containing electricity consumption records of residential households in Uruguay (mostly in Montevideo). The dataset is conceived to analyze customer behavior and detect patterns of energy consumption that can help to improve the service. The dataset is conformed by three subsets that cover total household consumpti...

Demand response programs allow consumers to participate in the operation of a smart electric grid by reducing or shifting their energy consumption, helping to match energy consumption with power supply. This article presents a bio-inspired approach for addressing the problem of colocation datacenters participating in demand response programs in a s...

The Fourth Industrial Revolution or Industry 4.0 is forcing a completely reorganization of the manufacturing systems in order to implement increasingly automatized processes and customized products. Within this context, advanced computer-aid tools can contribute to give support to decision-makers in this increasingly complex conditions. As a contri...

The impact of Industry 4.0 on production systems has significantly enhanced personalized production services for products customization, implying that production processes end up being customized as well. In this scenario, scheduling in flow shop configurations faces new challenges, since some of the products may require operations that other produ...

This article presents an exact approach for solving the problem of locating electric vehicle charging stations in a city, whose goal is upon minimizing the distance citizens must span to charge their vehicles. Mixed integer programming formulations are presented for two variants of the problem: relaxed (i.e., without considering electrical constrai...

This article presents a metaheuristic resolution approach for a variant of the Vehicle Routing Problem considering heterogeneous fleet and flexible time windows. This problem variant solved considers extended time windows for delivering products to customers, modeling a realistic situation for logistics in smart cities. The proposed metaheuristic f...

The user experience of passengers using public transportation is highly sensitive to travel time. In this regard, travel time is a key input to assess the quality of service offered by a public transportation system and to compute performance and service-level metrics. Moreover, travel time is needed to evaluate the accessibility to different oppor...

This article presents a Mixed-Integer Linear Programming model for cost optimization in multi-product multi-line production scheduling. The proposed model applies discrete time windows and includes realistic constraints. The model is validated on a specific case study from a real Uruguayan grain production facility. Results of the evaluation indica...

The need for a proper development of transportation systems in modern smart cities is motivated and driven by relevant factors, including conceiving territorial and transportation planning as part of an unified urban activity. In this line of work, this article presents an empirical analysis of sustainable mobility under the Transit Oriented Develo...

In the area of vehicular traffic analysis, many cities have surveillance devices (cameras) installed in different junctions as well as along roads, to obtain information on how vehicles behave in a certain area. To help in the process of preventing accidents, this article proposes a computer vision pipeline for detecting different types of dangerou...

Nowadays, big data analytic tools and Internet of Things applications boost productivity in Intelligent Transportation Systems in the context of smart cities. Each day, location mobility data are generated continuously from Global Positioning System devices in a high temporal granularity. This article introduces a framework for public transportatio...

This research presents a parallel/distributed approach for automatically searching the hyperparameters configuration for generative artificial neural networks (GANs). This search is challenging because GANs simultaneously train two deep neural networks. The proposed system applies the iterated racing approach, taking advantage of parallel/distribut...

This article presents an study of the generalization capabilities of forecasting techniques of empirical energy consumption models of high performance computing resources. This is a relevant subject, considering the large energy utilization of modern supercomputing facilities. Different energy models are built, considering several forecasting techn...

This article presents a parallel/distributed methodology for the intelligent search of the hyperparameters configuration for generative artificial neural networks (GANs). Finding the configuration that best fits a GAN for a specific problem is challenging because GANs simultaneously train two deep neural networks. Thus, in general, GANs have more c...

Featured Application The methodology described in this article is applicable to design proper management strategies for demand response in smart electricity grids to fairly select water heaters to intervene while guaranteeing the lower discomfort of users. Abstract Demand-response techniques are crucial for providing a proper quality of service un...

This article presents a novel method for generating multiple species of organisms on virtual environments, with interrelated behaviors. The proposed system (AGIO) strives to keep a balance between the exploration of diverse species, the evolution of interesting and connected behaviors, and the control of the user over the generated organisms. Exper...

This article presents how Virtual Savant (VS) can be used to automatically learn, from an exact algorithm, how to solve the basic independent Next Release Problem in a quick and accurate way. This variant of the Next Release Problem (NRP) is in essence a 0/1 Knapsack Problem and VS is applied to solve the underlying optimization problem. VS is a ge...

The Hubble Space Telescope (HST) has been operational for over 30 years, and throughout that time it has been bombarded by high-energy charged particles colloquially referred to as cosmic rays. In this paper, we present a comprehensive study of more than 1.2 billion cosmic rays observed with HST using a custom-written Python package, HSTcosmicrays...

Featured Application The planning methods presented in this article are specifically applicable to help decision makers in the processes of the configuration and operation of public intelligent transportation systems under the novel paradigm of smart cities. Abstract This article addresses timetable synchronization in public transportation, an imp...

This article presents an automatic system for modeling clinical knowledge to follow a physician’s reasoning in medical consultation. Instance-based learning is applied to provide suggestions when recording electronic medical records. The system was validated on a real case study involving advanced medical students. The proposed system is accurate a...

This article presents the evaluation of multicriteria planning heuristics for demand response in datacenters and supercomputing facilities. This is a relevant problem for science nowadays, when the growing application of cutting-edge technologies (numerical methods, big data processing, artificial intelligence, smart systems, etc.) has raised the e...

Ensuring reliable data storage in a cloud environment is a challenging problem. One of the efficient mechanisms used to solve it is the Redundant Residue Number System (RRNS) with the projection method, a commonly used mechanism for detecting errors. However, the error correction based on the projection method has exponential complexity depending o...

Modern Smart Cities are highly dependent on an efficient energy service since electricity is used in an increasing number of urban activities. In this regard, Time-of-Use prices for electricity is a widely implemented policy that has been successful to balance electricity consumption along the day and, thus, diminish the stress and risk of shortcut...

Worldwide, residential electricity demand has increased constantly, expecting to double in 2050 the demand of 2010. Different policies have been proposed to achieve a smart use of electricity. This article presents a data-analysis approach to evaluate the potential household electricity consumption from statistical data. The main axis of the study...

Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specific resolution method to build schedules for using deferrab...

This article presents a metaheuristic approach applying simulated annealing for the problem of planning corridors for oil pipelines facilities. The corridor location problem requires finding an optimal or a set of sub-optimal alternative routes between two locations, accounting for cost optimization and topographical constraints. The proposed simul...

Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable goals of modern societies. For this purpose, this article presents a mathematical formulation to the household energy planning problem and a specific resolution method to build schedules for using deferrab...

Urbanization trends worldwide show a clear preference for motorized road mobility, which has led to a degradation of air quality in recent years. Modelling and forecasting ambient air pollution is a relevant problem because it helps decision-makers and urban city planners understand this phenomenon, which is a significant threat to citizens' health...

The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demand...

This article studies the affinity scheduling problem in multicore computing systems, considering the minimization of communications and synchronizations. The problem consists in assigning a set of tasks to resources to minimize the overall execution time of the set of tasks and the execution time required to compute the schedule. A Multiobjective I...