Assistant Electrical Engineering

Ali Shahini

PhD in Electrical Engineering-Wireless Communications and Computer Networking

+1-646-***-**** ***.*******@****.*** 79 Belgrove Dr, Apt 1C, Kearny, NJ, 07032

Summary

PhD degree in Wireless Communications and Computer Networking. Well-developed programming skills such as MATLAB, C++, Python. Strong background in wireless communications, computer networking, network optimization, machine learning, probabilities, statistics and mathematics. Proven ability to work effectively with people of various cultural backgrounds. Excellent analytical and problem solving abilities.

EDUCATION

(Dec 2018) PhD in Electrical Engineering, Wireless Communications and Networking, New Jersey Institute of technology (NJIT), NJ, USA. PhD Thesis: “Optimizing Resource Allocation for Energy Harvesting Enabled Internet of Things”, Supervisor: Dr. Nirwan Ansari (FIEEE and Distinguished Professor), GPA: 3.9/4.0.

(Nov 2012) M.S. in Wireless Communications, University of Southampton, UK. Master’s Thesis:

“Detection Algorithms for MIMO V-Blast Architecture”, Supervisor: Dr. Lajos Hanzo (FIEEE, FREng and Distinguished Professor), Master’s degree with Distinction, 1st class honor. KEY COURSES

Optimization for Communications Networks; Digital Communications; Machine Learning; Statistical Decision Theory; Computer Communication Networks; Advance Signal Processing; Wireless and Mobile Networks; Integrated RF Transceiver Design; Radio Communication Networks and Systems. TECHNICAL SKILLS

Proficient: C++, MATLAB, NS3, Linux/Linux scripting, Python, Mathematica, Microsoft Visual Studio, MS- Office, Latex, Windows, Ubuntu, Mac

Working Knowledge: SQL, Power BI, R, Simulink, Cisco Packet Tracer, CPLEX, Protel, Proteous, PSpice AWARDS AND HONORS

PhD Teaching Assistant Award (2014-2018); MSc in Wireless Communications Systems with Distinction (1st Class Honor); Ranked in top 3 students among EE undergraduate students (twice) WORK EXPERIENCE

New Jersey Institute of Technology

• Multidisciplinary Researcher at Advanced Networking Lab Four Years (2015-Now) Strong knowledge and detailed understanding of 5G, LTE, C-RAN, MIMO, OFDMA, CDMA, mmWave, Wi-Fi (IEEE 802.11 standards), LAN/WAN, MAC protocols, SDN, and NFV. Designing a non-orthogonal multiple access (NOMA) scheme for NB-IoT (based on 3GPP release 16). Detailed knowledge of LTE Radio Access Networks (RAN) and 3GPP specifications. Performance analysis of learning based cooperative spectrum sensing for opportunistic spectrum access. Resource allocation for Wireless Energy Harvesting (WEH) enabled IoT networks. Proposing heuristic algorithms with low complexities to solve crossed layer optimization problems. Designing and analyzing a trade-off between energy efficiency and spectral efficiency of IoT networks. Throughput maximization of opportunistic users in wireless networks, such as IEEE 802.11.

• Instructor for Electrical Engineering Laboratory Four Months (Sep-Dec 2018) Teaching students the principles of electronic measurements, and familiarizing them with essential instrumentation such as analog and digital oscilloscopes, power supplies, signal generators, and spectrum analyzers. Teaching students the professional laboratory practices, elements of data analysis, and computer simulations using MATLAB and PSPICE.

• Instructor for Computer Networking Laboratory Two Years (2016-2018) Providing students with hands on training regarding the design, troubleshooting, modeling and evaluation of computer networks. Teaching network design and troubleshooting topics and tools such as: fast Ethernet protocols, IP addressing and subnet masking, Address Resolution Protocol (ARP), troubleshooting tools (e.g., ping, ICMP), IP routing (e.g., RIP), route discovery (e.g., traceroute), operation of the UDP protocol and IP fragmentation, operation of the TCP protocol and flow control.

• Wireless Communication Researcher at CWCSPR One Year (2014-2015) Performance analysis of STBC, STTC, TDMA, FDMA, and CDMA. Design and analysis of channel and source coding techniques. Performance analysis of LDPC, LDGM, CC, BCH codes and iterative belief propagation decoding.

• Teaching Assistant at NJIT Two Years (2014-2016) Assisting professors in teaching graduate courses such as Communication Systems I, Random Signal Analysis and Electronic II. Topics include analysis of sequences of random variables and central limit theorem, properties of random processes, correlation and spectral analysis, linear systems with random inputs, prediction of random signals, AM/FM modulations, matched filter and error probability. Private Company

Researcher and Programmer in Communication and DSP Projects One Year (2013-2014) MATLAB and C++ programming of various DSP and wireless communication concepts. Evaluation and design of high frequency amplifiers using P-Spice. Design and analysis of Localization techniques in wireless networks using MATLAB. Performance analysis of Energy Detection (ED) for CR networks. Simulation and evaluation of OFDM in MIMO systems. University of Southampton: Wireless Researcher Two Years (2011-2013) Modeling MIMO V-BLAST architecture for various fading channels and analyzing detection algorithms for MIMO V-Blast architecture (MS dissertation under supervision of Prof. Lajos Hanzo). Simulation and performance analysis of Maximum Likelihood Detection (MLD), ZF-SIC, ZF-QRD, MMSE-SIC, MMSE-QRD and Depth-First Sphere Detection (SD) algorithm. Evaluation and simulation of PSAM using Linear, Cubic and Spline interpolations. Analytical modeling of primary user emulation attacks in IEEE 802.22 networks. PUBLICATION

1. A. Shahini, A. Kiani, and N. Ansari, “Energy Efficient Resource Allocation in EH-enabled CR Networks for IoT,” IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2018.2880190, early access. 2. A. Shahini and N. Ansari, "Joint Spectrum Allocation and Structure Optimization in Green Powered Heterogeneous Cognitive Radio Networks," Elsevier Computer Communication Journal, Computer Communications, Volume 127, 2018, Pages 36-49.

3. A. Shahini and N. Ansari, “NOMA Aided Narrowband IoT for Machine Type Communication with User Clustering,” IEEE Internet of Things Journal, Accepted for publication. 4. A. Shahini and N. Ansari, "Sub-channel allocation in green powered heterogeneous cognitive radio networks," IEEE 37th Sarnoff Symposium, pp. 13-18, Newark, NJ, 2016. 5. A. Shahini, A. Bagheri and A. Shahzadi, "A unified approach to performance analysis of energy detection with diversity receivers over Nakagami-m fading channels," International Conference on Connected Vehicles and Expo, pp. 707-712, Las Vegas, NV, 2013.

6. A. Bagheri, A. Shahini and A. Shahzadi, "Analytical and learning-based spectrum sensing over channels with both fading and shadowing," International Conference on Connected Vehicles and Expo, pp. 699-706, 2013. 7. S. Tabatabaee, A. Bagheri, A. Shahini and A. Shahzadi, "An analytical model for primary user emulation attacks in IEEE 802.22 networks," International Conference on Connected Vehicles and Expo, pp. 693-698, Las Vegas, NV, 2013. PROFESSIONAL ACTIVITES

Serving as a Reviewer: IEEE Internet of Things Journal, IEEE Communications Letter, IET Communications Journal, Elsevier Computer Communications Journal, KSII Transactions on Internet and Information Systems, IEEE Sarnoff Conference 2016, IEEE Sarnoff Conference 2017, IEEE Vehicular Technology Conference 2017. Memberships: IEEE Student Member (8 years), IEEE Communications Society (6 years)

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