Yousof Naderi

HEllo, I'm
Yousof Naderi

About

Principle Research Scientist
CEO/Co-founder of DeepCharge Inc.
Next Generation Networks and Systems Lab (GENESYS)
Email: naderi [at] coe [dot] neu [dot] edu
Phone: (617) 564-3625
Address: 555A Interdisciplinary Science & Engineering Complex (ISEC), Northeastern University, Boston, MA 02115.
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Biography

Yousof Naderi is Principal Research Scientist at the Electrical and Computer Engineering Department, Northeastern University, Boston and CEO/Co-founder of DeepCharge Inc., which is aiming to simplify and personalize charging experiences of electronic devices. He received his Ph.D. from the Northeastern University in December 2015.

Youosf is an entrepreneur, and his interests lie in research, product development, and commercialization of next-generation wireless charging technologies. He was the recipient of NEU Ph.D. dissertation fellowship in 2015, a finalist in the Bell Labs Prize competition in 2017, Best Paper Award at the IEEE International Conference on Computer Communications (INFOCOM) in 2018, and NEU GapFund360 award in 2019. In 2018, his spin-out company has been selected for YCombinatoer, and in 2019 for Creative Destruction Lab accelerator at NYU Stern School of Business. His research expertise lies in the design of software-defined wireless systems, energy harvesting, and building integrated embedded hardware & software solutions for next-generation cyber-physical systems. In these areas, he has co-authored numerous scientific journal and conference papers publications and has also been granted two US patents.

Professional Skills

Knowledge and Expertise

Design and Implementation of Wireless Network Architectures, Protocols, and Algorithms
Resource Management (Planing, Control, and Optimization)
Building Real-time Wireless Embedded Systems
System Modeling and Performance Evaluation

Customer-driven Research and Development
Problem Solving
Leadership and Teamwork
Design Thinking

Technical Skills

Network Simulation

Proficient in NS2 and NS3, Familiar with OMNeT++

Building Embedded System

Arduino, TI eZ430-RF2500, beaglebone, MSP430/ContikiOS, Mica2(TinyOS)

Wireless Standards

Proficient in 802.15.4 MAC/PHY, 802.11 MAC/PHY, LTE, and Bluetooth

Analytical Modeling / Performance Evaluation

Proficient in queueing and stochastic theories

Programming

C/C++, Matlab, Python, Shell scripting, Embedded C

Research Projects

Summary of Selected Research and Development Projects

RF-MAC Project
Energy-on-Demand Medium Access Protocol for RF-powered Sensor Networks
Recent advances in the area of wireless energy transfer by radio frequency (RF) electromagnetic waves allow sensors to recharge during network operation wirelessly, thereby extending their lifetimes and minimizing application downtime. However, at the protocol level, this form of in-band energy replenishment is fraught with several challenges on: (i) how and when should the energy transfer occur, (ii) its priority over, and the resulting impact on the process of data communication, (iii) the challenges in aggregating the charging action of multiple transmitters, and (iv) impact of the choice of frequency. Thus, the act of energy transfer becomes a complex medium access problem, which must embrace a cross-disciplinary approach incorporating wave propagation effects and device characteristics, apart from the classical link layer problem of achieving fairness in accessing the channel.

In this project, a control access mechanism (called RF-MAC) is introduced for RF energy harvesting sensor networks for integrated data and energy transfer. It addresses the problems of the joint selection of energy transmitters and their frequencies based on the collective impact on charging time and energy interference, setting the maximum energy charging threshold, requesting and granting energy, and energy-aware access priority. It optimizes energy delivery to sensor nodes, while minimizing disruption to data communication. The grouping of the ETs into two sets with varying transmission frequencies, and the minimal control overhead are both geared to keep the hardware requirements simple, and the protocol easier to implement. Both simulation and experimental testbed results provide the performance of this protocol in terms of the average harvested energy and average network throughput. Throughout this project, we experimentally identified the operating constraints of the RF energy transferring MAC protocol using actual wireless energy harvesting circuits interfaced with well-known Mica2 motes. To the best of our knowledge, this was the first distributed medium access protocol for RF energy harvesting sensors.
Distributed Energy Beamforming Project
Real-time Charging Over Distance Prototype with Distributed Energy Beamforming
The focus on this project is design and development of an real-time energy beamforming system, including controllable software and hardware using software defined radio with full-duplex communications to charge electronic devices such as sensors and mobile phones over a distance.

The current wireless charging systems are not distributed and have limitations such as low charging rates, need for line-of-light alignment, and need for close contact with the device. To address these challenges, we have developed a wireless charging prototype based on Universal Software Radio Peripheral (USRP) as ETs that power sensor nodes through distributed energy beamforming. This system allows multiple uncoordinated ETs, each connected to a power amplifier, to self-adjust their transmitters so that the net energy transfer to the target device is constructive. In particular, ETs organize themselves into a virtual antenna array and self-adjust their phase based on feedbacks from the receiver, so that maximum net energy is transferred towards the intended receiver. We addressed challenges such as phase and frequency synchronizations among multiple ETs. We integrated a middleware management module for scheduling energy streams and transmission powers. The collaborative beamforming allows an exponential increase in wireless charging rates due to constructive interference and real-time smart adaptation of energy signals using receiver feedback.
HYDRA Project
Harvesting energy from Direct RF and Ambient Sources
This project is a planning and resource allocation framework with the main goal of devise a holistic framework for Harvesting energY from Direct RF and Ambient sources (called HYDRA), for the deployment of dedicated ETs that transfer RF energy on-demand to sensors using beamforming, while also considering the available ambient RF energy. The typical scenarios we consider in this project concerns networked sensor systems, where each node is capable of harvesting energy from various cellular and TV spectrum bands such as GSM/EDGE, WCDMA/HSPA, LTE, and digital TV., as well as from dedicated ETs. Like the mythical multi-headed hydra, our proposed framework can activate one of many possible front-ends, each optimized for a specific band, and switch to a different selection when the energy harvesting capability is reduced.
HYDRA determines the locations of wireless chargers that jointly maximizes the available ambient power for the sensors and minimizes the number of chargers to reduce costs and overhead. It also determines the spatial scheduling of the energy beams that maps wireless charger operations to changing network requirements and available ambient energy, while minimizing the energy expenditures of wireless chargers. HYDRA proposes a new strategy for supplying energy called energy-in-advance transfer (EIA) which provides nodes in advance with the energy they will need for current and future operations. HYDRA yields as high as 160% more energy efficient transfer than conventional state-of-the-art techniques such as static beamforming.
NSF ICorps Project: Customer Discovery
Customer-driven Research and Development
In this project (called DeepBeam), we have validated a product-market fit for our distribuetd wireless charging prototype, through extensive customer discovery process conducted within the NSF Innovation Corps (I-Corps™) program. The I-Corps is a set of activities and programs that prepares scientists and engineers to extend their focus beyond the laboratory and broadens the impact of select basic-research projects. Through this program, we formed a team of technology and business mentors, and completed more than 110 customer discovery interviews regarding mobile phone charging system using the energy beamforming. In addition, we talked with investors, potential partners, distribution channels, and accordingly created a customer-driven business model, including customer archetypes, value propositions, customer relationships, distributions, revenue models, costs, main activities, and resources.
Data/Energy Coexistence and Interference Management
Integrated Wireless Data and Energy Transfer
Wireless transfer of energy through directed radio frequency waves has the potential to realize perennially operating sensor nodes by replenishing the energy contained in the limited on-board battery. However, the high power energy transfer from ETs interferes with data communications, limiting the coexistence of data and energy signals. In this project, through extensive experiments, we studied the opportunities and challenges of interference management for integrated wireless charging and data transfer in RF-powered sensor networks. Moreover, we introduced a scheme for leveraging energy pulses with random phases to enhance the total efficiency of wireless charging in the system.

In particular, we investigated the effect of data transmissions and energy transfer in the same frequency band, quantified the impact of long-range interference of ETs, and the energy charging range required to effectively recharge nodes. It is demonstrated that how practically low-power data communications can survive the presence of high-power energy signals. We showed the interference between RF energy transmitters and wireless nodes when they occur simultaneously as a function of the separation of frequency of use. We also identified safe frequency separation for concurrent data and energy transmission. We demonstrated the destructive interference effect of multiple energy transmissions on the same frequency, and measured the impact of the energy cancellation (i.e. one energy signal cancels other energy signal) on the amount of harvested power. It is demonstrated that how practically low-power data communications can survive the presence of high-power energy signals. We explored how the placement and relative distances of multiple ETs affect the charging process, demonstrating constructive and destructive energy aggregation at the sensor nodes. Finally, we introduced a scheme (called DRAMA) that deliberately generates random interferences, both destructive and constructive, at the destination nodes and optimizes the total amount of energy harvested, and through real-testbed experiments, we proved the performance of DRAMA.
Energy Models for Distributed Wireless Chargers
Analytical Energy Models and Probablity Distributions
This project develops analytical models to capture the energy interferences from multiple ETs and formulates the location-dependent power harvesting rates in generalized 2D and 3D placement of multiple wireless chargers. While multiple ETs are needed to ensure high energy transfer rates, they introduce interference among RF waves from different ETs, leading to significant and various constructive and destructive combinations over the network deployment area and low charging rates. This project examined the energy interference between concurrent RF waves that may result in destructive combinations of the net signal energy if the ETs are randomly placed. To verify the experimental findings, a set of closed form equations for omnidirectional ETs is developed that accurately captures and provisions the locations where the ET action is cumulative, and would be core for network planning.

In addition, we studied the distributions of total available and harvested power over the entire WSN. We provided closed matrix forms of harvestable power at any given point in space due to the action of concurrent energy transfer from multiple ETs, explicitly considering constructive and destructive interference of the transmitted energy signals. We also analyzed the performance of energy transfer in the WSN through power outage probability, interference, and harvested voltage. The results show the network wide received power and interference power from concurrent energy transfers exhibit Log-Normal distributions, and the harvested voltage over the network follows a Rayleigh distribution.
Data Over Energy Communication Project
On Signaling Power
This project introduces a method of concurrent transmission of data and energy in a point-to-point communication scenario, allowing energy transmitters (ETs) to transmit energy and sensors to transmit data in the same band synchronously without pre-defined schedules. To this end, we devised a physical layer modulation scheme that allows the data transmitting node to introduce small variations in the envelope of the energy signal at the intended recipient that could be used to decode the data. We implemented a proof-of-concept transmitter/receiver, and modeled and validated this through testbed-based experiments. A physical layer is developed to mitigate the energy and data phase misalignment. We provided quantitative results demonstrate the viability of our joint energy and data transfer approaches, offering sensitivity below -60 dBm with off-the-shelf energy harvesters.

We also introduced an opportunistic all-digital receiver for simultaneous wireless information and power transmission (SWIPT) operations with highly-efficient, switch-mode RF energy harvesters. We showed that overlapped data transmission can be recovered by monitoring the internal control signals of the energy harvester. Our approach enables software-based data reception, with benefits such as not requiring separate data reception hardware, reduced manufacturing cost and size, and lower power consumption. We have modeled and implemented a proof-of-concept receiver based on off-theshelf hardware, through which we obtained data reception rates of over 400 bps. This design will affect that of future joint energy and data RF harvesters, enabling higher decoding bit-rates, while still meeting the desired performance over the power processing stage.
SAVE Project
Reliability Modeling of Energy Harvesting Sensor Networks
We introduced a stochastic tool called SAVE, Stochastic Analysis and aVailability of Energy, for modeling reliability and analysis of the residual energy and the lifetime distribution of nodes. SAVE accoutns for practically observed temporal variations both in sensor node and harvestable energy based on energy source characteristics and surrounded environment. Through this work, we addressed the question that if only observe the instantly energy harvesting and consumption rates at each EH node, how formulate and predict future energy levels and lifetime.

This model the energy harvesting wireless sensor node as a stochastic semi-Markov process and introduce a new analysis technique, called energy transient analysis, for the computation of the net consumed energy distribution. The amount of consumed and harvested energy in each state of a node are modeled as random variables, depending on discharging and recharging rates and on the holding time distribution of that state. We jointly captured energy consumption and harvesting process through a technique called energy transient analysis that serve as a tool for deriving the node lifetime distributions. This technique is harvesting technology- and harvesting node-independent, thus being applicable in a wide variety of practical settings. The SAVE framework captures a wide umbrella of input factors through its kernel, including channel characteristics, different energy sources and harvesting policies, link layer parameters (e.g., error control and duty cycling) and data traffic generation models.
Cross-layer Error Control for Multimedia Sensor Network
Protocol Design for Relaible Video Communications
In this project, we first evaluated comprehensivly performance evaluation of Automatic Repeat Request (ARQ), Forward Error Correction (FEC), Erasure Coding (EC), link-layer hybrid FEC/ARQ, and cross-layer hybrid error control schemes over Wireless Multimedia Sensor Network. Performance metrics such as energy efficiency, frame Peak Signal-to-Noise Ratio (PSNR), frame loss rate, cumulative jitter, and delay-constrained PSNR are investigated. The results provide new insights for efficient design of error control protocols for multimedia communications over WSNs. Then we have developed an adaptive cross-layer error control protocol for reliable and efficient real-time multimedia streaming in wireless sensor networks. It uses an adaptive forward error correction algorithm in the application layer and a power-loss rate optimized hybrid FEC/ARQ error control algorithm with an unequal error protection (UEP) mechanism in the wireless link layer.

In particular, it dynamically tunes the amount of erasure codes per group of packets based on the mean absolute deviation of recently measured average round-trip times and cross-layer information such as the arrival of acknowledgment packets, network traffic load, and wireless channel state. Moreover, the end-to-end packet loss rate and energy consumption are modeled as a function of number of hopes, the automatic repeat request(ARQ), and FEC error control mechanisms of the wireless link layer. The analytical model is used as the basis of hybrid FEC/ARQ error control algorithm that adapts the protection level at the link layer so that the power-loss rate is optimized. The comprehensive evaluations show that this protocol achieves higher performance compared to the popular error control schemes in terms of energy efficiency (35%), frame peak signal-to-noise ratio (PSNR) (41%), and delay-constrained PSNR (46%) for real-time multimedia streaming over the sensor networks.
Performance Evaluation of CSMA/CA in Full-Duplex Wireless Communications
Toward Reliable Full-duplex MAC Protocol
Full duplex communication promises a paradigm shift in wireless networks by allowing simultaneous packet transmission and reception within the same channel. While recent prototypes indicate the feasibility of this concept, there is a lack of rigorous theoretical development on how full duplex impacts medium access control (MAC) protocols in practical wireless networks.

In this project, we formulated the first analytical model of a CSMA/CA based full duplex MAC protocol for a wireless LAN network composed of an access point serving mobile clients. There are two major contributions of our work: First, our Markov chain-based approach results in closed form expressions of throughput for both the access point and the clients for this new class of networks. Second, our study provides quantitative insights on how much of the classical hidden terminal problem can be mitigated through full duplex. We specifically demonstrate that the improvement in the network throughput is up to 35-40% over the half duplex case. Our analytical models are verified through packet level simulations in ns-2. Our results also reveal the benefit of full duplex under varying network configuration parameters, such as number of hidden terminals, client density, and contention window size.
QoS Provisioning Framework for Heterogeneous Cognitive Radio Networks
Resource Allocation for Cognitive Medical Telemetry
Cognitive radio (CR) networks are composed of wireless nodes that may opportunistically transmit in licensed frequency bands without affecting the primary users of that band. When multiple different CR users identify the same set of available channels, the task of allocating them adequate portions of the spectrum is a non-trivial task. More specifically, the new assignment of spectrum to one set of users may in-turn impact adversely the performance of a different set of users that have already been allotted the same portion of the spectrum. In this regard, we have worked on spectrum allocation and QoS provisioning framework for cognitive radio with heterogeneous service classes such as wireless medical telemetry service (WMTS) bands to provide protection toward any kind of interference and at the same time provide QoS to highly critical medical applications. WMTS operates on FCC designated bands for transmitting critical patient health information to distant receivers within hospitals. However, the current devices experience intermittent interference from digital TV transmissions in neighboring channels are prohibited from transmitting multimedia data and must operate with a secondary access priority in portions of the WMTS band, also shared with utility metering.

To guarantee such QoS requirements, we casted the problem of active and backup channel allocation for the streaming category based on queuing theory as a 2-dimensional Markov process having the properties of quasi-birth-and death (QBD) that ensure an appropriate bounded channel access delay for streaming CR nodes. A different Markov process based on an adapted version of the original 802.11 distributed coordinated function (DCF) model is devised for non-streaming CR nodes. Unlike the classical case where each node has similar channel access rights, in our work, the PUs have priority of using the channel. This changes the probability distributions of the state transitions, and impacts the critical functions of backoff, countdown, among others. Our method factors in a rich set of possibilities including SUs with different QoS requirements, PUs with varying activity patterns, and flexible channel boundaries.
Thank You !
Yousof Naderi

Publications

Book Chapters:

S. Basagni, M.Y. Naderi, C. Petrioli and D. Spenza, "Wireless Sensor Networks With Energy Harvesting", in Mobile Ad Hoc Networking: Cutting Edge Directions, Chapter 20, John Wiley & Sons Inc., Hoboken, NJ, 2012. PDF

Patents :

K. Chowdhury, and M.Y. Naderi, “Distributed Wireless Charging System and Method,” U.S. Application No.: 62/308298.

Journal Papers:

R. G. Cid-Fuentes, M. Y. Naderi, K. R. Chowdhury, A. Cabellos-Aparicio, and E. Alarcon, “On the Scalability of Energy in Wireless RF Powered Internet of Things,” IEEE Communication Letters, accepted Sept. 2016.
R. Doost, M.Y. Naderi, and K.R. Chowdhury, "Performance Analysis of CSMA/CA based Medium Access in Full-Duplex Wireless Communications", IEEE Transactions on Mobile Computing, in press, 2015. PDF
M.Y. Naderi, P. Nintanavongsa, and K. R. Chowdhury, "RF-MAC: A Medium Access Control Protocol for Re-chargeable Sensor Networks Powered by Wireless Energy Harvesting", IEEE Transactions on Wireless Communication, vol. 13, no. 7, 2014. PDF
R. Doost, M.Y. Naderi, and K.R. Chowdhury "Spectrum Allocation and QoS Provisioning Framework for Cognitive Radio with Heterogeneous Service Classes", IEEE Transactions on Wireless Communication, vol. 13, no. 7, 2014. PDF
M.Y. Naderi, H. Rabiee, and M. Khansari, M. Salehi "Error Control for Multimedia Communications in Wireless Sensor Networks: A Comparative Performance Analysis", Elsevier Ad Hoc Networks, vol. 10, issue 6, 2012. PDF

Conference Papers:

R. G. Cid-Fuentes, M.Y. Naderi, S. Basagni, K. R. Chowdhury, A. Cabellos-Aparicio and E. Alarcon, "On Signaling Power: Communications over Wireless Energy", in Proc. of the IEEE INFOCOM 2016, San Francisco, CA, USA, April 2016. PDF
R.G. Cid-Fuentes, M.Y. Naderi, R. Doost, K.R. Chowdhury, A. Cabellos-Aparicio, E. Alarcon, "Leveraging Deliberately Generated Interferences for Multi-sensor Wireless RF Power Transmission", in Proc. IEEE GLOBECOM 2015, San Diego, CA, USA, Dec. 2015. PDF
M.Y. Naderi, K.R. Chowdhury, S. Basagni, "Wireless Sensor Networks with RF Energy Harvesting: Energy Models and Analysis", in Proc. IEEE WCNC 2014, New Orleans, LA, 2015. PDF
M.Y. Naderi, K.R. Chowdhury, S. Basagni, W. Heinzelman, S. De, and S. Jana, "Experimental Study of Concurrent Data and Wireless Energy Transfer for Sensor Networks", in Proc. IEEE GLOBECOM 2014, Austin, Texas, Dec. 2014. PDF
M.Y. Naderi, K.R. Chowdhury, S. Basagni, W. Heinzelman, S. De, and S. Jana, "Surviving Wireless Energy Interference in RF-harvesting Sensor Networks: An Empirical Study", in Proc. IEEE SECON 2014, Workshop on Energy Harvesting Communications, Singapore, June 30, 2014. PDF
P. Nintanavongsa, M.Y. Naderi, and K.R. Chowdhury, "A Dual-band Wireless Energy Transfer Protocol for Heterogeneous Sensor Networks Powered by RF Energy Harvesting", in Proc. IEEE ICSEC 2013, Bangkok, Thailand, Sep. 2013. PDF
P. Nintanavongsa, M.Y. Naderi, and K.R. Chowdhury, "Medium Access Control Protocol Design for Sensors Powered by Wireless Energy Transfer", in Proc. of IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013. PDF
M.Y. Naderi, S. Basagni, and K.R. Chowdhury, "Modeling the Residual Energy and Lifetime of Energy Harvesting Sensor Nodes", in Proc. of IEEE GLOBECOM 2012, Anaheim, California, USA, December 3-7, 2012. PDF
M.Y. Naderi, H. Rabiee, and M. Khansari, "Performance Analysis of Selected Error Control Protocols in Wireless Multimedia Sensor Networks", in Proc. IEEE MASCOTS 2010, Miami, Florida, 2010. PDF
A. Rooshenas, H. Rabiee, A. Movaghar, and M.Y. Naderi,"Reducing The Data Transmission in Wireless Sensor Networks Using The Principal Component Analysis", in Proc. of IEEE ISSNIP'10, Brisbane, Australia, 2010. PDF

Technical Reports:

M.Yousof Naderi ,"Performance Analysis of Conventional Error Control Protocols in Wireless Multimedia Sensor Networks", Research Progress Report, Sharif University of Technology, 2009.
M.Yousof Naderi ,"Performance Evaluation of MPEG4 Video Streaming Over Wireless Lossy Channels Using NS2", Sharif University of Technology, 2009.

Awards

NSF Innovation-Corps award, summer 2016, given after proposal acceptance, completion of 100+ customer interviews, identification of product-market fit and validation of a customer-driven business model.
Northeastern Dissertation Completion Fellowship (DCF) award, fall 2015, given two times a year to outstanding PhD students to finish the dissertation with high quality and impact.
NSF young professional travel award, Washington, DC 2014, given for novelty and impact of research.
“Outstanding Reviewer” awards, Elsevier Computer Communications Journal (Feb2015), and Elsevier Ad-Hoc Networks Journal (Jan 2016).
Graduate research and teaching assistanships, Northeastern University, 2011-2015.
290+ citations for published research papers (h-index:8), and reviewer for 65+ academic journal and conference papers.
Ranked 1st in M.Sc. with honors based on GPA.
Ranked among the top three teams at World Robocup Rescue Simulation League, Bremen, Germany, 2006.

Services/Talks

Organizing Committee Member

Organizing Committee member for NEWSDR17
Organizing Committee member of IEEE DCOSS 2013, DCOSS 2014, and DCOSS 2016
Program Committee member of IEEE DySPAN 2012- Poster Panel

Technical Program Committee Member

Technical Committee member of IFIP Wireless Days 2016 and 2017
Technical Committee member of IEEE VTC 2015
Technical Committee member of IEEE WONS 2014

Chair for Conferences and Workshops

Session Chair of IEEE WoWMoM Workshop (VidEv 2015)
Session Chair of IEEE VTC-Fall 2015

Reviewer for Journals and Conferences

Reviewer of IEEE Journal of Selected Areas in Communications
Reviewer of IEEE/ACM Transactions on Networking
Reviewer of IEEE Transactions on Wireless Communications
Reviewer of IEEE Transactions on Mobile Computing
Reviewer of IEEE Transactions on Vehicular Technology
Reviewer of IEEE Transactions on Computers
Reviewer of IEEE Transactions on Communications
Reviewer of IEEE Sensors Journal
Reviewer of IEEE Communications Letters
Reviewer of Ad Hoc Networks (Elsevier) Journal
Reviewer of IEEE Computer Magazine
Reviewer of Journal of Network and Computer Applications (Elsevier)
Reviewer of Journal Wireless Networks - Springer
Reviewer of IEEE Conference on Computer Communications (INFOCOM 2013, 2014, 2015, 2016)
Reviewer of IEEE Conference on Computing, Networking and Communications (ICNC 2015)
Reviewer of IEEE Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2016)
Reviewer of IEEE Conference on Pervasive Computing and Communication (PerCom 2013, 2014, 2015)
Reviewer of IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS 2015)
Reviewer of the 21th European Wireless Conference (EW 2015)
Reviewer of IEEE Conference on Sensor, Mesh and AdHoc Communications and Networks (SECON 2013, 2014)
Reviewer of IEEE Global Telecommunications Conference (GLOBECOM 2013, 2014)
Reviewer of IEEE Conference on Wireless Communications and Networking Conference (WCNC 2014)
Reviewer of IEEE Conference on Wireless and Mobile Computing, Networking, and Communications (WiMob 2013)
Reviewer of IEEE Conference on Computer Communications and Networks (ICCCN 2013)
Reviewer of ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2013)
Reviewer of IEEE Dynamic Spectrum Access Networks Conference (DySPAN 2012)

Invited Talks

Customer-driven Research and Development for Academia, Northeastern University, 2016.
Effortless Productivity, MIT, Cambridge, MA, 2015.
Next-generation Cyber-Physical Systems Utilizing RF-Powered Computing, Northeastern University, 2015.
Next-generation Cyber-Physical Systems Utilizing RF-Powered Computing, NSF, Washington, 2014.
Work and Life Balance for Graduate Students, Harvard Univeristy, Cambridge, MA, 2013.
Performance Evaluation of Distributed Systems, Sharif Univeristy of Technology, Iran, 2008.
Transmission Reliability in Wireless Sensor Networks, Sharif University of Technology, Iran, 2008.
The Accuracy of Markov Models in Predicting Packet Loss Statistics, Sharif University of Technology, Iran, 2008.
Cost Sensitive Classification Using Genetic Programming, Sharif University of Technology, Iran, 2007.
The Linux Kernel, Shahid Beheshti University, Iran, 2006.

Contact

Let's Keep In Touch

Yousof Naderi
409 Dana Research Center,
360 Huntington Ave.,
Northeastern University,
Boston, MA 02115, USA.

Phone
+1-(617)-373-5294

Email
naderi [at] coe [dot] neu [dot] edu

LinkedIn Profile:

awesome.

invincible.

unbeatable.

indestructible.

HEllo, I'm Yousof Naderi

About

Biography

Professional Skills

Knowledge and Expertise

Technical Skills

Network Simulation

Building Embedded System

Wireless Standards

Analytical Modeling / Performance Evaluation

Programming

Research Projects

Summary of Selected Research and Development Projects

RF-MAC Project

Distributed Energy Beamforming Project

HYDRA Project

NSF ICorps Project: Customer Discovery

Data/Energy Coexistence and Interference Management

Energy Models for Distributed Wireless Chargers

Data Over Energy Communication Project

SAVE Project

Cross-layer Error Control for Multimedia Sensor Network

Performance Evaluation of CSMA/CA in Full-Duplex Wireless Communications

QoS Provisioning Framework for Heterogeneous Cognitive Radio Networks

Thank You !