Faculty

Institution

Unit

Venue

Filippo Malandra

Assistant Professor

University at Buffalo

Affiliations

School of Engineering and Applied Sciences

Department of Electrical Engineering

Filippo Malandra is currently serving as an Electrical Engineering Assistant Professor at University At Buffalo.

Honors

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Experiences

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Education

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Filippo Malandra

University at Buffalo

Assistant Professor

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electrical engineering systems engineering internet of things communications systems wireless communications modeling and simulation mobile computing 5g system smart cities machine learning engineering technology smart grid telecommunication networks intermittently connected device deep reinforcement learning network simulation network topology iot traffic smart grid applications energy management transportation engineering industrial engineering industrial informatics information technology infrastructure engineering control system technology distributed systems automatic control circulatory physiology vascular biology free radical biology cardiovascular research field programmable gate array networked system design pervasive computing quality-of-service failure detection asic implementation simulation modelling simulation framework energy consumption network performance distributed control systems energy control ofdm system simulation methodology traffic simulation community structure community networks advanced metering infrastructure vascular adaptation hypoxia (medicine) vascular pharmacology endothelial dysfunction aeronautics aerospace technology markov decision process full duplex network planning mobile communication principal component analysis time-variable context energy savings wireless mesh networks lte performance analysis traffic characterization time-slotted aloha voltage disturbances simulation tool iot applications delay-sensitive lte downlink smart-city lte infrastructures enodeb failure detection performance kpis network performance evaluation network analysis smart wireless network wireless networks smart infrastructure data science iot system intelligent network

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Mdp-Based Approach to Model and Optimize Discontinuous Reception (Drx) in Cellular Iot Networks. IEEE Internet of Things Journal (2024)

Nicholas AccursoNicholas MastronardeFilippo Malandra

wireless communicationscommunications systemssystems engineeringtelecommunication networksfull duplexdronesnetwork planninginternet of thingswireless networkscommunicationmobile computingmarkov decision processcellular networkscellular iot networksdiscontinuous receptionmobile communicationfield programmable gate array

A Machine Learning Framework for Weather-Based Signal Strength Prediction in Private Lte/5G Networks. (2024)

Kishorkumar DevasenapathyBiswajit Kumar DashFilippo Malandra

principal component analysis5g systemdata sciencemachine learning frameworkmachine learning

(Demo) Wttool: A Visual Web-Based Topology Generator and 5G Network Simulator With Ns-3. (2024)

Nicholas AccursoSamir Si-MohammedDiptangshu DeFilippo Malandra

wireless communicationscommunications systemscomputer sciencetelecommunication networksnetwork topology5g systemnetwork simulatortopology controltopologywireless networksnetworked system designnetwork simulationcomputer engineeringelectrical engineeringmobile computingmodeling and simulationnetwork visualizationsnetwork science

Experimental Analysis of the Impact of Weather on Signal Strength in the Cbrs Frequency Spectrum. (2024)

Biswajit Kumar DashJoseph A CaezzaFilippo Malandra

cbrs frequency spectrumsignal strengthelectrical engineering

Experimental Network Performance Analysis From a Cbrs-Based Private Mobile Network. (2024)

Biswajit Kumar DashJoseph A CaezzaFilippo Malandra

systems engineeringnetwork analysis

Propagation Analysis in the Cbrs Spectrum: Path Loss Characterization and Environmental Impacts. (2024)

Biswajit Kumar DashJoseph A CaezzaFilippo Malandra

propagation analysisshift detectionearth scienceenvironmental impactsenvironmental sciencepath loss characterizationcbrs spectrum

A Layered and Grid-Based Methodology to Characterize and Simulate Iot Traffic on Advanced Cellular Networks. IEEE Internet of Things Magazine (2023)

Filippo MalandraHakim MellahAbbas Dehghani FirouzabadiConstant WettéBrunilde Sansò

grid-based methodologysystems engineeringtraffic simulationiot trafficinternet of thingsnetwork simulationadvanced cellular networkselectrical engineeringmodeling and simulationsimulation methodology

Deep Reinforcement Learning for Downlink Scheduling in 5G and Beyond Networks: A Review. (2023)

Michael SeguinAnjali OmerMohammad KooshaFilippo MalandraNicholas Mastronarde

computer science5g systemdownlink schedulingdeep reinforcement learningmachine learning

Experimental End-To-End Delay Analysis of Lte Cat-M With High-Rate Synchrophasor Communications. IEEE Internet of Things Journal (2023)

Sureel ShahSayan KoleyFilippo Malandra

wireless communicationscommunications systemshigh-rate synchrophasor communicationsinternet of thingsintermittently connected deviceofdm systemelectrical engineeringdigital signal processing

Fogml 2023 Tpc Technical Program Committee. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023)

Vaneet AggarwalChristopher BrintonMingzhe ChenFilippo MalandraNicholas MastronardeZhaohui Yang

computer sciencesystems engineering

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Filippo Malandra

Assistant Professor

University at Buffalo

Affiliations

School of Engineering and Applied Sciences

Department of Electrical Engineering

Filippo Malandra is currently serving as an Electrical Engineering Assistant Professor at University At Buffalo.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Filippo Malandra

University at Buffalo

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Comprehensive Mdp-Based Approach to Model and Optimize Discontinuous Reception (Drx) in Cellular Iot Networks. IEEE Internet of Things Journal (2024)

Nicholas AccursoNicholas MastronardeFilippo Malandra

A Machine Learning Framework for Weather-Based Signal Strength Prediction in Private Lte/5G Networks. (2024)

Kishorkumar DevasenapathyBiswajit Kumar DashFilippo Malandra

principal component analysis5g systemdata sciencemachine learning frameworkmachine learning

(Demo) Wttool: A Visual Web-Based Topology Generator and 5G Network Simulator With Ns-3. (2024)

Nicholas AccursoSamir Si-MohammedDiptangshu DeFilippo Malandra

Experimental Analysis of the Impact of Weather on Signal Strength in the Cbrs Frequency Spectrum. (2024)

Biswajit Kumar DashJoseph A CaezzaFilippo Malandra

cbrs frequency spectrumsignal strengthelectrical engineering

Experimental Network Performance Analysis From a Cbrs-Based Private Mobile Network. (2024)

Biswajit Kumar DashJoseph A CaezzaFilippo Malandra

systems engineeringnetwork analysis

Propagation Analysis in the Cbrs Spectrum: Path Loss Characterization and Environmental Impacts. (2024)

Biswajit Kumar DashJoseph A CaezzaFilippo Malandra

propagation analysisshift detectionearth scienceenvironmental impactsenvironmental sciencepath loss characterizationcbrs spectrum

A Layered and Grid-Based Methodology to Characterize and Simulate Iot Traffic on Advanced Cellular Networks. IEEE Internet of Things Magazine (2023)

Filippo MalandraHakim MellahAbbas Dehghani FirouzabadiConstant WettéBrunilde Sansò

grid-based methodologysystems engineeringtraffic simulationiot trafficinternet of thingsnetwork simulationadvanced cellular networkselectrical engineeringmodeling and simulationsimulation methodology

Deep Reinforcement Learning for Downlink Scheduling in 5G and Beyond Networks: A Review. (2023)

Michael SeguinAnjali OmerMohammad KooshaFilippo MalandraNicholas Mastronarde

computer science5g systemdownlink schedulingdeep reinforcement learningmachine learning

Experimental End-To-End Delay Analysis of Lte Cat-M With High-Rate Synchrophasor Communications. IEEE Internet of Things Journal (2023)

Sureel ShahSayan KoleyFilippo Malandra

wireless communicationscommunications systemshigh-rate synchrophasor communicationsinternet of thingsintermittently connected deviceofdm systemelectrical engineeringdigital signal processing

Fogml 2023 Tpc Technical Program Committee. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023)

Vaneet AggarwalChristopher BrintonMingzhe ChenFilippo MalandraNicholas MastronardeZhaohui Yang

computer sciencesystems engineering

1
2
3
4
10 / page

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Janise McNair

Institution

University of Florida

industrial informatics

infrastructure engineering

Beatriz Lorenzo

Institution

University of Massachusetts Amherst

quantum networks

intelligent network

Sanjay Shakkottai

Institution

University of Texas at Austin

intelligent network

wireless communication

Konstantinos Psounis

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University of Southern California

e-infrastructures

complex system

Kyle Jamieson

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wireless communications

computer science

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Institution

University of Utah

pervasive computing

network science

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data security

cyberattack

Patrick Tague

Institution

Carnegie Mellon University

iot system

communications system

John S. Heidemann

Institution

University of Southern California

internet protocols

information security

Qilian Liang

Institution

University of Texas at Arlington

electrical engineering

computer science