iWINLAB

Innovations in Wireless Information Networking Lab

STUDENTS

Graduated Doctoral Students

Chetana V. Murudkar is pursuing a Ph.D. in Electrical Engineering at the University of South Florida under the supervision of Dr. Richard D. Gitlin. She is an engineer at T-Mobile and her responsibilities involve design, deployment, performance monitoring, and optimization of T-Mobile's multi-technology, multi-band, and multi-vendor wireless communications network. Her past work experience includes working with AT&T Labs and Ericsson. She has led and/or performed analytical, optimization, and design activities related to wireless communication systems including but not limited to 5G, LTE Advanced, LTE, CDMA, and WiMAX and she continues to develop her research-oriented, problem-solving, critical thinking, leadership, technical, communication, and presentation skills. She received her Master of Science degree in Telecommunications Engineering from Southern Methodist University and a Bachelor of Engineering degree in Electronics and Telecommunications Engineering from the University of Mumbai. Her Ph.D. research focus is on developing novel user-centric design strategies for next generation self-organizing wireless communications networks using machine learning.

Below is a list of Chetana's publications:

[1] Chetana V. Murudkar and R. D. Gitlin, "Machine Learning for QoE Prediction and Anomaly Detection in Self-Organizing Mobile Networking Systems," International Journal of Wireless & Mobile Networks (IJWMN), Vol. 11, No. 2, April 2019 PDF.

[2] Chetana V. Murudkar and R. D. Gitlin, "Optimal-Capacity, Shortest Path Routing in Self-Organizing 5G Networks using Machine Learning," 20th annual IEEE Wireless and Microwave Technology Conference (WAMICON),Cocoa Beach, FL, USA, April 8-9, 2019. PDF.

[3] Chetana V. Murudkar and R. D. Gitlin, "QoE-driven Anomaly Detection in Self-Organizing Mobile Networks using Machine Learning," the 18th annual Wireless Telecommunications Symposium (WTS 2019), New York City, NY, USA, April 9-12, 2019. PDF.

[4] Chetana Murudkar and Richard D. Gitlin, “User-Centric Approaches for Next-Generation Self-Organizing Wireless Communication Networks Using Machine Learning”, IEEE International Conference on Microwaves, Communications, Antennas, and Electronic Systems (COMCAS), Tel Aviv, Israel, November 2019.

Faeik T Al Rabee received his B.Sc. degree in Communications and Software Engineering from Al-Balqa' Applied University/ Al-Huson University College, Irbid, Jordan in 2008, with a full scholarship from the Ministry of Higher Education, Jordan. He received a 94% percentile ranking in the nationwide University Achievement Test in Jordan. In 2013, he received the M.Sc. degree in Electrical Engineering majoring in Wireless Communications from Jordan University of Science and Technology (JUST), Irbid, Jordan, under the supervision of Prof. Mansour I. Abbadi. His M.Sc. dissertation was in Optical Fiber Communications. His research was directed towards using an optical filter in order to compensate for fiber dispersion. During his graduate studies, he worked as teaching assistant in the Electrical Engineering department at JUST University for three years. At the end of Spring 2020 semester, he received his Ph.D. degree under the supervision of Distinguished University Prof. Richard D. Gitlin at the University of South Florida, Tampa-Florida, as a member of the Innovations in Wireless Information Networking (iWINLAB) group. His research interests include 5G wireless systems and networking protocols, multiple access techniques for 5G wireless networks (emphasis on Non-Orthogonal Multiple Access -NOMA), and the Internet of Things (IoT). Faeik will join Al-Balqa’ Applied University (BAU) as assistant professor in the Engineering Technology College, Amman, Jordan.

Below is a list of Faeik's publications:

[1] F. T. Al Rabee and R. D. Gitlin, " Uplink Power-Domain Non-Orthogonal Multiple Access (NOMA): Bit Error Rate Performance with Channel Estimation Errors," in International Journal of Interdisciplinary Telecommunications and Networking, vol. 12, no. 4, 2020. PDF

[2] F. Al Rabee and R. D. Gitlin, "Performance of Uplink Non-Orthogonal Multiple Access (NOMA) in the Presence of Channel Estimation Errors," the 18th annual Wireless Telecommunications Symposium (WTS 2019), New York City, NY, USA, April 9-12, 2019. PDF.

[3] F. Al Rabee, Ashraf Al-Rimawi, and R. D. Gitlin, "Channel Capacity in a Dynamic Random Waypoint Mobility Model," 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) 2018, New York City, NY, USA,November 8-9, 2018. PDF.

[4] Eren Balevi, F. Al Rabee and R. D. Gitlin, "ALOHA-NOMA for Massive Machine-to-Machine IoT Communication," IEEE International Conference on Communications (ICC), 2018, Kansas City, MO, May 2018,PDF.

[5] F. Al Rabee, K. Davaslioglu, and R. D. Gitlin, "The Optimum Received Power Levels of Uplink Non- Orthogonal Multiple Access (NOMA) Signals," IEEE 18th Wireless and Microwave Technology Conference (WAMICON), April 2017, DOI: 10.1109/WAMICON.2017.7930242.

Mohamed H. Elkourdi Mohamed H. Elkourdi received the M.Sc. degree in Telecommunication and Signal Processing from New Jersey Institute of Technology in 2013, and the B.Sc. degree in Telecommunication and Electronics Engineering with distinction from Applied Science University, Amman, Jordan in 2010. In May 2019, he received the Ph.D. under the supervision of Prof. Richard Gitlin at the University of South Florida with the Innovation in Wireless Information Networking Laboratory (iWINLAB). His research interests include machine learning and game theory in 5G wireless networks and beyond, multiple access techniques, coordinated multipoint (CoMP) and MIMO systems. He was formerly with Mavenir (https://mavenir.com), where he worked with 5G/LTE vRAN R&D team in developing AI/ML algorithms for the next generation of wireless networks. Currently, he is with Qualcomm Corporation as a Senior System Engineer

Below is a list of Elkourdi's publications:

Patents:

[1] US Patent No. US 10,587,999 B2, "Enabling slotted Aloha-NOMA for massive machine-to-machine (M2M) communication in internet of thing (IoT) networks", March 10, 2020. Patent.

[2] US Patent No. US 10,327,123 B1, "System and Method for Machine-to-Machine Communication in an Internet-of-Things Network", June 18, 2019. Patent.

Publications:

[1] M. Elkourdi, A. Mazin and R. D. Gitlin, "Performance Analysis for Virtual-Cell Based CoMP 5G Networks Using Deep Recurrent Neural Nets," the 18th annual Wireless Telecommunications Symposium (WTS 2019), New York City, NY, USA, April 9-12, 2019. PDF.

[2] A. Mazin, M. Elkourdi and R. D. Gitlin, "SAN- Slotted Aloha-NOMA a MAC Protocol for M2M Communications," Information Theory and Applications (ITA 2019): San Diego, February 11-15, 2019. PDF.

[3] A. Mazin, M. Elkourdi and R. D. Gitlin, "Comparative Performance Analysis of Beam Sweeping Using a Deep Neural Net and Random Starting Point in mmWave 5G New Radio," 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) 2018, New York City, NY, USA, November 8-9, 2018. PDF.

[4] M. Elkourdi, A. Mazin and R. D. Gitlin, "Optimization of 5G Virtual Cell Based Coordinated Multipoint Networks Using Deep Machine Learning," International Journal of Wireless & Mobile Networks (IJWMN) Vol. 10, No. 4, August 2018 PDF.

[5] A. Mazin, M. Elkourdi and R. D. Gitlin, "Accelerating Beam Sweeping in mmWave Standalone 5G New Radios using Recurrent Neural Networks," IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA, August 27-30, 2018. PDF.

[6] M. Elkourdi, A. Mazin and R. D. Gitlin, " Slotted Aloha-NOMA with MIMO Beamforming for Massive M2M Communication in IoT Networks," IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA, August 27-30, 2018. PDF.

[7] A. Mazin, M. Elkourdi and R. D. Gitlin, "Comparison of Slotted Aloha-NOMA and CSMA/CA for M2M Communications in IoT Networks," IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA, August 27-30, 2018. PDF.

[8] M. Elkourdi, A. Mazin and R. D. Gitlin, "Towards Low Latency in 5G HetNets: A Bayesian Cell Selection / User Association Approach," IEEE 5G World Forum (5GWF'18) July 9-11, 2018 in Santa Clara, CA, USA, PDF.

[9] M. Elkourdi, A. Mazin and R. D. Gitlin, "Slotted Aloha-NOMA (SAN) in 5G IoT Networks," IEEE Communication Theory Workshop, May 2018, Miramar Beach, Florida. PDF.

[10] M. Elkourdi, A. Mazin, Eren Balevi and R. D. Gitlin, "Enabling Slotted Aloha-NOMA for Massive M2M Communication in IoT Networks," IEEE 19th Wireless and Microwave Technology Conference (WAMICON), April 2018, PDF.

[11] M. Elkourdi, B. Pekoz, E. Guvenkaya and H. Arslan, "Waveform Design Principles for 5G and Beyond (invited paper)" IEEE Wireless and Microwave Technology Conference (WAMICON), Clearwater Beach, FL, USA, 11-13 April 2016.

[12] M. Elkourdi, A. F. Demir, M. Ibrahim and H.Arslan, "Waveform design for 5G and beyond", book chapter in "5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management" (Editors: Anwer Al-Dulaimi (EXFO-Canada), Xianbin Wang (Western University-Canada), and Chih-Lin I (China Mobile-China)), to appear in an IEEE Wiley book.

[13] A.Yazar, M.Elkourdi, and H.Arslan, "Waveform Designs for Cognitive Radio and Dynamic Spectrum Access" book chapter in Handbook of Cognitive Radio (Editor: Wei Zhang), to be published by Springer.

Nabeel I. Sulieman received his B.S. degree in Electrical Engineering from University of Baghdad, Baghdad – Iraq in 1998, he was one of the ten highest ranked students in the Electrical Engineering Department, and he received his M.S. degree with merit in wireless communications systems from Brunel University, London – UK in 2008. His Master's thesis was "The Impact of Adjacent Channel Interference on WCDMA for UMTS." From 2002 until 2014, he worked for Iraqi Telecommunication and Post Company as a technical support engineer. In addition, he worked as an instructor for short technical courses in Higher Institute of Telecommunications-Baghdad-Iraq. He received several training certifications from Lucent Technologies (Alcatel-Lucent) in Operations, Maintenance, and Management of Lucent landline switches. Also, he received two certifications from the Cisco Academy (CCNA1 and CCNA2). He was Assistant Head of Engineering when he traveled to the USA to pursue a Ph.D. in Electrical Engineering at the University of South Florida in the Innovations in Wireless Information Networking Laboratory (iWINLAB) under the supervision of Dr. Richard Gitlin, and his research interests include Diversity Coding, Network Coding, Triangular Network Coding, 5G Wireless Fronthaul Networks, Coordinated Multipoint Processing (CoMP), Synchronization of Diversity and Network Coding, Software Defined Networking (SDN), and Network Function Virtualization (NFV). At present, he is working as a technical support engineer and head of engineering at Informatics and Telecommunications Public Company, Baghdad – Iraq.

Below is a list of Nabeel's publications:

[1] N. I. Sulieman and R. D. Gitlin, "Near-Instant Fault Recovery and Ultra-Reliable Multi-Hop Wireless Sensor Networks,"IEEE SoutheastCon 2019 Conference, Huntsville, AL, USA, April 11-14, 2019 PDF.

[2] N. I. Sulieman, Eren Balevi and R. D. Gitlin, "Enhanced Diversity and Network Coded 5G Wireless Fog-Based-Fronthaul Networks," IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA, August 27-30, 2018. PDF.

[3] N. I. Sulieman and R. D. Gitlin, "Efficiently Secure Broadcasting in 5G Wireless Fog-Based-Fronthaul Networks,"International Journal of Wireless & Mobile Networks (IJWMN) Vol. 10, No. 3, June 2018 PDF.

[4] N. I. Sulieman, E. Balevi and R. D. Gitlin, "Near-Instant Link Failure Recovery in 5G Wireless F-RANs," IEEE Wireless Telecommunications Symposium (WTS), 2018, Phoenix, AR, April 2018, PDF.

[5] N. I. Sulieman and R. D. Gitlin, "Ultra-Reliable and Energy Efficient Wireless Sensor Networks," IEEE 19th Wireless and Microwave Technology Conference (WAMICON), 2018,Sand Key, FL, USA, April 09-10, 2018.PDF.

[6] N. Siasi, N. I. Sulieman and R. D. Gitlin, "Ultra-Reliable NFV-Based 5G Networks Using DC-NC," IEEE 19th Wireless and Microwave Technology Conference (WAMICON), 2018, Sand Key, FL, USA, April 09-10, 2018. PDF.

[7] N. I. Sulieman, Eren Balevi and R. D. Gitlin, "Reliable and Resilient Coordinated Multi Point Fronthaul Networks," IEEE 19th Wireless and Microwave Technology Conference (WAMICON),2018, Sand Key, FL, USA, April 09-10, 2018. PDF.

[8] N. I. Sulieman, Eren Balevi, K. Davaslioglu, and R. D. Gitlin, "Diversity and Network Coded 5G Fronthaul Wireless Networks for Ultra Reliable and Low Latency Communications," IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2017, Montreal, QC, Canada, Oct 2017, PDF.

[9] N. I. Sulieman, K. Davaslioglu, and R. D. Gitlin, "Diversity Coded 5G Fronthaul Wireless Networks," IEEE Wireless Telecommunications Symposium (WTS), 2017, Chicago, IL, April 2017, DOI: 10.1109/WTS.2017.7943537.

[10] N. I. Sulieman, K. Davaslioglu, and R. D. Gitlin, "Link Failure Recovery via Diversity Coding in 5G Fronthaul Wireless Networks," IEEE 18th Wireless and Microwave Technology Conference (WAMICON), April 2017, DOI: 10.1109/WAMICON.2017.7930241.

Asim M. Mazin received the B.S. degree in Electronics and Telecommunications engineering in 2007 from the College of Industrial Technology Misurata, Libya and an M.S. degree in Electri-cal and Computer Engineering with a concentration in wireless communications from Southern Illinois University in 2013. His Master's thesis was Peak-to-Average Power Reduction (PAPR) in OFDM using Particle Swarm Optimization (PSO) technique. In May 2019, he received his Ph.D. degree under the supervision of Prof. Richard D. Gitlin at the University of South Florida with the Innovations in Wireless Information Networking (iWINLAB) and his research interests include Physical Layer Security, multiple access in massive M2M IoT networks, applying machine learning in 5G Wireless Networks. He was previously Postdoctoral Research Fellow at Moffitt Cancer Center, where he developed clinically-relevant diagnostic tools for cancer by using machine learning to Magnetic Resonance Imaging (MRI) and digitized multiplexed immunohistochemistry (MHIC) image data. Currently, he is with Qualcomm Corporation as a Senior Engineer.

Below is a list of Asim's publications:

Patents:

US Patent No. US 10,587,999 B2, "Enabling slotted Aloha-NOMA for massive machine-to-machine (M2M) communication in internet of thing (IoT) networks", March 10, 2020.Patent.

US Patent No. US 10,327,123 B1, "System and Method for Machine-to-Machine Communication in an Internet-of-Things Network", June 18, 2019.Patent.

Publications:

[2] A. Mazin, M. Elkourdi and R. D. Gitlin, "SAN- Slotted Aloha-NOMA a MAC Protocol for M2M Communications," Information Theory and Applications (ITA 2019): San Diego, February 11-15, 2019. PDF.

[6] A. Mazin, M. Elkourdi and R. D. Gitlin, "Comparison of Slotted Aloha-NOMA and CSMA/CA for M2M Communications in IoT Networks," IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA, August 27-30, 2018. PDF.

[7] M. Elkourdi, A. Mazin and R. D. Gitlin, " Slotted Aloha-NOMA with MIMO Beamforming for Massive M2M Communication in IoT Networks," IEEE 88th Vehicular Technology Conference (VTC2018-Fall), Chicago, IL, USA, August 27-30, 2018. PDF.

[9] M. Elkourdi, A. Mazin, and R. D. Gitlin, "Slotted Aloha-NOMA (SAN) in 5G IoT Networks," IEEE Communication Theory Workshop, May 2018, Miramar Beach, Florida. PDF.

[11] A. Mazin, K. Davaslioglu, and R. D. Gitlin, "Secure Key Management for 5G Physical Layer Security," IEEE 18th Wireless and Microwave Technology Conference (WAMICON), April 2017, DOI: 10.1109/WAMICON.2017.7930246.

[12] A. Mazin and Crosby, Garth V. "Reducing the Peak to Average Power Ratio of MIMO-OFDM Systems." International Journal of Computer Networks & Communications (IJCNC) Vol.5, No.3, May 2013

Calvin Perumalla received his Doctorate degree in Electrical Engineering from the University of South Florida in 2017 and his Bachelor's degree in Electronics and Communication from Malla Reddy Engineering College, Hyderabad, India. At iWINLAB, Calvin developed novel machine learning and adaptive signal processing algorithms that facilitate the invention of a small, unobtrusive, portable wearable heart monitor called the integrated vectorcardiogram (iVCG). The device was designed to deliver maximum diagnostic information, equivalent to that of the gold standard 12-lead ECG (which is obtrusive to the patient and limited to in-office visits). Currently, Calvin works for Vectra Networks as a data scientist and helps build threat detection models using artificial intelligence.

Below is a list of Calvin's publications:

[1] D. S. Wickramasuriya, C. A. Perumalla, K. Davaslioglu, and R. D. Gitlin, "Base Station Prediction and Proactive Mobility Management in Virtual Cells using Recurrent Neural Networks," IEEE 18th Wireless and Microwave Technology Conference (WAMICON), April 2017, DOI: 10.1109/WAMICON.2017.7930254.

[2] C. A. Perumalla, T. P. Ketterl, R. D. Gitlin and P. J. Fabri, "Integrated Vectorcardiogram (iVCG) Rotation Modeling and Compensation, " 20th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), September 2015, DOI: 10.1109/CAMAD.2015.7390498.

[3] C. A. Perumalla, T. P. Ketterl, G. E. Arrobo, R. D. Gitlin and P. J. Fabri, "Wireless iVCG Optimization Using A Least-Squares Fit," IEEE 16th Wireless and Microwave Technology Conference (WAMICON), April 2015, DOI: 10.1109/WAMICON.2015.7120391.

[4] C. A. Perumalla, G. E. Arrobo, T. P. Ketterl, R. D. Gitlin and P. J. Fabri, "Wireless Vectorcardiogram System Optimization using Adaptive Signal Processing," IEEE International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), December 2014, 10.1109/IMWS-BIO.2014.7032436.

[5] G. E. Arrobo, C. A. Perumalla, Y. Liu, T. P. Ketterl, R. D. Gitlin, P. J. Fabri, "A Novel Vectorcardiogram System," 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom), October 2014, DOI: 10.1109/HealthCom.2014.7001848.

[6] G. E. Arrobo, C. A. Perumalla, S. B. Hanke, T. P. Ketterl, P. J. Fabri, and R. D. Gitlin, "An Innovative Wireless Cardiac Rhythm Management (iCRM) System," Wireless Telecommunication Symposium 2014, April 9-11, 2014, DOI: 10.1109/WTS.2014.6835035.

Yang Liu received his B.S. degree in Biology Science from Wuhan University in 2010 and his M.S. degree in Electrical Engineering from Beijing University of Posts and Telecommunications in 2013. In May 2017, he received the Ph.D. degree in Electrical Engineering in University of South Florida. His research interests in iWINLAB include in vivo wireless channel modeling and power efficiency optimization for WBANs. At present, he is working as a data scientist at AppZen Inc. AppZen uses artificial intelligence (AI) to automate the auditing process of a company's overall spend.

Below is a list of Yang's publications:

[1] Y. Liu, K. Davaslioglu, and R. D. Gitlin, "Energy Efficiency Optimization of Channel Access Probabilities in IEEE 802.15.6 UWB WBANs," IEEE Wireless Communications and Networking Conference (WCNC), 2017, San Francisco, CA, March 2017, PDF.

[2] Y. Liu, K. Davaslioglu, and R. D. Gitlin, "Energy Efficiency and Resource Allocation of IEEE 802.15.6 IR-UWB WBANs: Current State-of-the-Art and Future Directions," Information Theory and Applications Workshop (ITA), 2017, San Diego, CA, February 2017, PDF.

[3] K. Davaslioglu, Y. Liu and R. D. Gitlin, "CLOEE - Cross-Layer Optimization for Energy Efficiency of IEEE 802.15.6 IR-UWB WBANs," IEEE GLOBECOM 2016, December 2016, PDF.

[4] Y. Liu and R. D. Gitlin, "A Phenomenological Path Loss Model of the In Vivo Wireless Channel," IEEE 16th Wireless and Microwave Technology Conference (WAMICON), April 2015, DOI: 10.1109/WAMICON.2015.7120411.

[5] C. He, Y. Liu, G. E. Arrobo, T. P. Ketterl and R. D. Gitlin, "In Vivo Wireless Communications and Networking," Information Theory and Applications Workshop (ITA), 2015, San Diego, CA, February 2015, DOI: 10.1109/ITA.2015.7308982.

[6] Y. Liu, T. P. Ketterl, G. E. Arrobo, and R. D. Gitlin, "Modeling the Wireless In vivo Path Loss," IEEE International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), December 2014,10.1109/IMWS-BIO.2014.7032404.

[7] C. He, Y. Liu, T. P. Ketterl, G. E. Arrobo, and R. D. Gitlin, "MIMO in vivo," IEEE 15th Annual Wireless and Microwave Technology Conference (WAMICON), June 2014, DOI: 10.1109/WAMICON.2014.6857757.

[8] Y. Liu, W. Xu, K. Niu, Z. He, B. Tian, "A Practical Compress-and-Forward Relay Scheme Based on Superposition Coding," Proceedings of 2012 IEEE 14th International Conference on Communication Technology (ICCT 2012), November 2012, pp: 1386-1390, DOI: 10.1109/ICCT.2012.6511396.

Dr. Chao He received his M.S. and B.S. degree in Electrical Engineering from Shanghai Jiao Tong University, China in 2000 and his PhD in Electrical Engineering from USF in 2015. He is now with Verana Networks. He was with Samsung Research America Inc.. From 2006 to 2013, he was with Huawei Technologies Co., Ltd. where he worked as project manager, project leader and senior system engineer in the fields of LTE/LTE-A wireless physical layer research, LTE/LTE-A base band algorithms design and implementation, LTE/LTE-A base band multi-core SOC design and LTE smart phone product development. Before he joined Huawei Technologies Co., Ltd., he worked in ZTE Corporation, China as senior engineer in the development and design of TD-SCDMA base band algorithms and WCDMA RNC wireless protocols.

His research interests include:

Advanced resource scheduling to optimize the performance of wireless networks. Current research is directed towards user-specific QoS requirements that are utilized by the scheduler to differentiate between the users with the goal of significantly improving system capacity, while maintaining an acceptable MOS level at the same time.

MIMO for Wireless Body Areas Networks [WBANs], where significant performance gain can be achieved using MIMO in vivo technology.

Below is a list of Chao's publications:

[1] C. He and R. D. Gitlin, "Limiting Performance of Massive MIMO Downlink Cellular Systems," Information Theory and Applications Workshop (ITA), 2016, San Diego, CA, February 2016, PDF.

[2] C. He and R. D. Gitlin, "User-Specific QoS Aware Scheduling and Implementation in Wireless Systems," 2015 IEEE Wireless Telecommunications Symposium (WTS), April 2015, DOI: 10.1109/WTS.2015.7117249.

[3] C. He, G. E. Arrobo, and R. D. Gitlin, "Improving System Capacity Based upon User-Specific QoS for Heterogeneous Networks," IEEE Wireless Communications and Networking Conference (WCNC), March 2015, DOI: 10.1109/WCNC.2015.7127669.

[4] C. He, Y. Liu, G. E. Arrobo, T. P. Ketterl and R. D. Gitlin, "In Vivo Wireless Communications and Networking," Information Theory and Applications Workshop (ITA), 2015, San Diego, CA, February 2015, DOI: 10.1109/ITA.2015.7308982.

[5] C. He, Y. Liu, T. P. Ketterl, G. E. Arrobo, and R. D. Gitlin, "Performance Evaluation for MIMO In Vivo WBAN Systems," IEEE International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), December 2014, 10.1109/IMWS-BIO.2014.7032380.

[6] C. He and R. D. Gitlin, "Application-Specific and QoS-Aware Scheduling for Wireless Systems," IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), September 2014, DOI: 10.1109/PIMRC.2014.7136340.

[7] C. He and R. D. Gitlin, "User Specific QoS and its Application in Resources Scheduling for Wireless System," the 14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Springer International Publishing, 2014, pp. 809–821, DOI: 10.1007/978-3-319-11197-1_64.

[8] C. He, Y. Liu, T. P. Ketterl, G. E. Arrobo, and R. D. Gitlin, "MIMO in vivo," IEEE 15th Annual Wireless and Microwave Technology Conference (WAMICON), June 2014, DOI: 10.1109/WAMICON.2014.6857757.

Dr. Gabriel Arrobo was a postdoctoral researcher at USF with over 11 years of experience in telecommunication systems and networks. Currently he is with Intel as a Systems Engineer in the Standardization Group working on next-generation cellular systems. From May 2002 to December 2009, Gabriel was with the "Corporacion Nacional de Telecommunicaciones" (formerly ANDINATEL), a telecommunications service provider, where he held various jobs positions ranging from staff engineer to manager.

Dr. Arrobo received his Engineering degree (CUM LAUDE) in Electronics and Telecommunications (5-year degree) from the Escuela Politecnica Nacional, in Quito, Ecuador in 2004 and the Engineering Diploma in Inter-networking (1-year graduate studies) from the Escuela Politecnica Nacional, in Quito, Ecuador in 2006. He received his Master of Business Administration, with a concentration in strategy and enterprise policy from the Instituto Tecnologico de Estudios Superiores de Monterrey, Toluca, Mexico in 2008. In 2010, he received his Masters of Science, and, in 2012 he received his doctoral degree both in Electrical Engineering from the University of South Florida, in Tampa, Florida. His research interests include wireless systems, networking protocols and communciation algorithms. For more information about Dr. Arrobo click here.

Graduated Master's Students

Dilranjan Wickramasuriya received his B.S. in Electronic and Telecommunication Engineering from the University of Moratuwa in 2014. He then worked as a software engineer at hSenid Mobile Solutions. He is currently pursuing his Master's degree in Electrical Engineering in University of South Florida. His research interests include EEG signal processing, FPGA design and machine learning.

Shown below is a list of Dilranjan's publications:

[2] D. S. Wickramasuriya, C. A. Perumalla, and R. D. Gitlin, "Predicting Episodes of Atrial Fibrillation using RR-Intervals and Ectopic Beats," IEEE/EMB joint International Conference on Biomedical and Health Informatics (BHI), Orlando, FL, February 2017, PDF.

[3] D. S. Wickramasuriya, L. P. Wijesinghe and S. Mallawaarachchi, "Seizure Prediction using Hilbert Huang Transform on Field Programmable Gate Array," IEEE Global Conference on Signal and Information Processing, December 2015, DOI: 10.1109/GlobalSIP.2015.7418334.

[4] A. L. Hettiarachchi, H. O. Thathsarani, P. U. Wickramasinghe, D. S. Wickramasuriya and R. Rodrigo, "Extensible Video Surveillance Software with Simultaneous Event Detection for Low and High Density Crowd Analysis," International Conference on Information and Automation for Sustainability, December 2014, DOI: 10.1109/ICIAFS.2014.7069590.

[5] L. P. Wijesinghe, D. S. Wickramasuriya and A. A. Pasqual, "A Generalized Pre-processing and Feature Extraction Platform for Scalp EEG Signals on FPGA," IEEE Conference on Biomedical Engineering and Sciences (IECBES), December 2014, DOI: 10.1109/IECBES.2014.7047472.

Raghav Sharma is pursuing a Masters degree in Electrical Engineering with a concentration in microelectronics and nanotechnology. From 2010 to 2013, he had worked in India at Electronic Arts Sports as software engineer and at Perfectus Technologies as an ASIC verification engineer. Raghav's expertize and work experience is in protocol verification, bus function module design, verification framework technologies and design methodologies, and automatic test generation techniques. His research interests include high level synthesis and design automation and emerging computing technologies. Currently, Raghav is working under the joint supervision of Profs. Gitlin and Katkoori on the “In Vivo Wireless Information Networking” project where he is leading the FPGA prototyping efforts of the MARVEL II system.

Adham Alqassis received his B.S and M.S degree in Electrical Engineering from the University of South Florida in 2010 and 2012 that focuses on digital communication and power. Currently he is finishing his second Master degree in Engineering Management while working as graduate research assistance at the University of South Florida. His work includes electronic, mechanical and optical characterization, design and testing. His interest revolves around microscopic circuit design and laparoscopes for minimal invasive surgery.

Adham is now employed by Stryker Corporation.

Below is a list of Adham's publications:

[1] A. Alqassis, C. A. Castro, S. Smith, T. P. Ketterl, Yu Sun, P. P. Savage, and R. D. Gitlin, "A Wireless Robotic Video Laparo- Endoscope for Minimal Invasive Surgery," IEEE Workshop On Robot Vision (WorV), January 2013, pp. 158-164, DOI: 10.1109/WORV.2013.6521931.

[2] C. A. Castro, S. Smith, A. Alqassis, T. P. Ketterl, Yu Sun, S. Ross, A. Rosemurgy, P. P. Savage, and R. D. Gitlin, "MARVEL: A Wireless Miniature Anchored Robotic Videoscope for Expedited Laparoscopy," IEEE International Conference on Robotics and Automation (ICRA), 2012, pp. 2926-2931, DOI: 10.1109/ICRA.2012.6225118.

[3] A. Alqassis, T. P, Ketterl, C. A. Castro, R. D. Gitlin, S. Ross, Yu.Sun, and A. Rosemurgy, "MARVEL In Vivo Wireless System," National Academy of Inventors: Journal of Technology and Innovation, 2012, vol. 14, no. 3, pp. 329-340, DOI:10.3727/194982412X13500042169090.

[4] C. A. Castro, S. Smith, A. Alqassis, T. P. Ketterl, Yu Sun, S. Ross, A. Rosemurgy, P. P. Savage, and R. D. Gitlin, "A Wireless Miniature Robot for Networked Expedited Laparoscopy," IEEE Transactions on Biomedical Engineering (TBME), 2012, pp. 930-936, DOI: 10.1109/TBME.2012.2232926.

Cristian A. Castro received the B.S. degree in Electrical engineering from Universidad de Antioquia, Medellin, Colombia, in 2005 and the M.S. degree Electrical Engineering from University Of South Florida, Tampa, FL, in 2010.

During his time at the University of South Florida, he worked in the development of the MARVEL system architecture, the design of the control system, the human machine interface and the PCB design. He was formerly a Senior Engineer at RFMD, where he works on the design of APIs, developing optimized algorithms to decrease testing time for the gamut of company products. His current research interests include embedded system and control for intra-body medical robotics and machine learning.

Cristian is now employed by Qualcomm Corporation as a Senior Software Engineer involved in research, design, development, integration, testing and performance optimization of software application and computer software system in conjunction with hardware product development for wireless telecommunications, software tools and device drivers.

Below is a list of Cristian's publications:

[1] A. Alqassis, C. A. Castro, S. Smith, T. P. Ketterl, Y. Sun, P. P. Savage, and R. D. Gitlin, "A Wireless Robotic Video Laparo- Endoscope for Minimal Invasive Surgery," IEEE Workshop On Robot Vision (WorV), January 2013, pp. 158-164, DOI: 10.1109/WORV.2013.6521931.

[2] C. A. Castro, S. Smith, A. Alqassis, T. P. Ketterl, Y. Sun, S. Ross, A. Rosemurgy, P. P. Savage, and R. D. Gitlin, "A Wireless Miniature Robot for Networked Expedited Laparoscopy," IEEE Transactions on Biomedical Engineering (TBME), 2013, pp. 930-936, DOI: 10.1109/TBME.2012.2232926.

[3] C. A. Castro, S. Smith, A. Alqassis, T. P. Ketterl, Y. Sun, S. Ross, A. Rosemurgy, P. P. Savage, and R. D. Gitlin, "MARVEL: A Wireless Miniature Anchored Robotic Videoscope for Expedited Laparoscopy," IEEE International Conference on Robotics and Automation (ICRA), 2012, pp. 2926-2931, DOI: 10.1109/ICRA.2012.6225118.

[4] A. Alqassis, T. P, Ketterl, C. A. Castro, R. D. Gitlin, S. Ross, Y. Sun, and A. Rosemurgy, "MARVEL In Vivo Wireless System," National Academy of Inventors: Journal of Technology and Innovation, 2012, vol. 14, no. 3, pp. 329-340, DOI:10.3727/194982412X13500042169090.

[5] Y. Sun, A. Anderson, C. Castro, B. Lin, R. D. Gitlin, S. Ross, and A. Rosemurgy, "Virtually Transparent Epidermal Imagery for Laparo-Endoscopic Single-Site Surgery," Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 2011, pp. 2107-2110, DOI: 10.1109/IEMBS.2011.6090392.

Stanley B. Hanke received a B.S degree in Electrical Engineering with Honors from Georgia Institute of Technology, Atlanta, GA, in 2012. He is an active member of IEEE and Eta Kappa Nu.

At Georgia Tech, Stan split his time between Embedded Systems Design and Control System Theory. Having participated for 3 years at the IEEE SoutheastCon Student Hardware Competition, Stan has led teams to design and build several robotics projects. Having proficiency in both hardware design and layout, and also software program development, he is able to manage and assist in both aspects on large projects. He also spent two summers working as a co-op for Texas Instruments in Houston, first working as an Applications Engineer helping to develop software and assets to support the C-6000 line of TI DSP processors, and then working as a Product Engineer, where he focused on COB reduction and testing efficiency for processors in the TI multicore product line. His work at TI as a PE resulted in direct multi-million dollar savings from testing costs on several 4x and 8x DSP core processors.

At iWINLAB, Stan used his expertise in digital architecture design to implement wireless systems and digital video compression in hardware. His skills working with FPGA devices and HDL device development have been assisting iWINLAB in prototyping and testing designs and algorithms based on our research.

Stan is currently employed by DeLoitte working on Cybersecurity engineering and analysis.