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Honesty and integrity are by far the most important assets of our laboratory.

Our lab is dedicated to providing a welcoming and respectful workplace for everyone, regardless of race, gender, faith, sexual orientation, and ability. In our inclusive community, we respect and understand our individual differences and our common ground. We are committed to provide the opportunity for members of traditionally underrepresented groups.

Research Directions

Our research focuses on designing novel algorithms and techniques for wireless communications and networking in extreme environments and uncertain communication situations. Vehicle to vehicle communications, coordination and communication in multi-robot systems and autonomous vehicles, and Internet of Things are the research directions we are currently working on. We are always looking for motivated students and researchers to expand our team. Please contact us, if you are interested in our research.

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While Remotely Operated Vehicles (ROVs) are completely controlled by human, autonomous vehicles, on the opposite end, should be able to completely accomplish the required missions by controlling their movement and trajectory without any external help. However, using conventional solutions, fully autonomous vehicles are still not fully safe and reliable in navigation and decision-making in practical and time-sensitive scenarios. Using communication systems in the user-assisted autonomy status, we introduce novel AI-based solutions in our laboratory to tackle the problem and to enhance the level of autonomy in various applications.

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As we move towards 5G-advanced and paving the way towards the next generation, i.e., sustainable 6G, we need to investigate and revisit the integration of classic communications with Machine Learning (ML) and Artificial Intelligence (AI) solutions. ICAS-Lab studies novel sensing and communications in a common hardware that can serve both systems while preserving reliable, efficient, and desirable system performance. While new spectrum technologies are being introduced, spectrum management plays a fundamental role in the deployment of such systems.

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Underwater networks enable various applications such as oceanographic data collection, pollution monitoring and disaster prevention using static nodes and/or mobile vehicles. In applications, such as in the Internet of Underwater Things, data is usually distributed across a high number of nodes. The efficiency of this IoT system, in terms of data collection, fusion, and processing, in mission-critical applications relies on the robustness of the communication algorithms and protocols that control the components of such a system. Our laboratory conducts research on this problem to provide coordination among multiple nodes, which are expected to work closely, especially in unstructured and heterogeneous environments.

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Automated Driving Systems (ADS)–including conditional, high, and fully automated capabilities–are part of a vision which will become a reality in the near future. While ongoing research on this critical aspect is a necessity, smaller-scale scenarios, such as Automated Valet Parking (AVP), can be investigated for the proof of concept which allows a better realization of the ADS. AVP is a challenging task, especially when it comes to narrow spaces, angle, parallel, and perpendicular parking in spaces with limited maneuverability, or other situations with a high probability of collision. Our group conducts research on this topic from the technological perspective in detection, processing, and decision-making units, mounted on the vehicle, infrastructure, or a combination of both to fulfill the tasks efficiently and reliably. The possibility of relying more on infrastructure/visual data and less on Lidar and GPS is at the center of our research.

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As an important part of the intelligent transportation systems, a reliable and timely communications between a vehicle and other vehicles (V2V), infrastructure (V2I), network (V2N), grid (V2G), pedestrian (V2P), and other devices (V2D) are required for a safe and reliable transportation system. The futuristic autonomous and self-driving cars with high levels of autonomy cannot operate efficiently without the cellular and/or short range connectivity; however, there are many challenges in the underlying communication systems and standards, given the heterogeneity of the vehicles and sensors from one side, and the diversity of urban congestions and coverage maps from the other side. Our laboratory performs research on the state-of-the-art solutions for connected vehicles for various transportation scenarios towards implementing autonomous vehicles.

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As we are moving towards the next generation of communication system (6G) and thinking about key technologies that constitute our world in near future, we need to investigate the integration of communications and sensing with the Artificial Intelligence (AI). Interest in Smart Cities, with fully connected heterogeneous components in both terrestrial and non-terrestrial networks, has initiated theoretical, technological, and industrial-oriented research and investigations. One of its main characteristics is to provide an intelligent, reliable, high-speed, and ultra-low-latency wireline and wireless connectivity among these components in a hierarchical order. Our laboratory conducts research on this problem and provides communications and networking solutions geared toward addressing fundamental issues in Smart Cities.

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Reconfigurable frontends, i.e., transceivers and antennae, covering from low frequencies up to Terahertz band, are one of the most important parts of the future networks and 6G (sixth-generation wireless) radios. Furthermore, propagation conditions, such as absorption, reflection, diffraction, NLOS (Non-Line of Sight) propagation, fading, interference, Doppler effect, coverage, and the range of transmission (for higher frequencies, especially in Teraherz communications) are some of the main challenging phenomena in wireless communications, which are traditionally assumed uncontrollable and destructive. Our laboratory conducts research on reconfigurable intelligent surfaces in order to create smart radio environments and to make the environments controllable and reconfigurable.


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  • October 2021: Job Opening: Postdoctoral Position (Open until filled): Highly motivated applicants with a PhD in “Electrical Engineering, Communications Systems” are encouraged to apply. The qualified candidate should have an outstanding academic and research record, a strong background in math and optimization, and a deep knowledge of communications theory. A one-page research proposal, CV, and at least two first-authored journal papers are required and should be submitted. Previous proposal writing experience is preferred. The candidate should be able to demonstrate their commitment and passion for research, as well as a collaborative work ethic and great communication skills. This program is planned to be finished in 12 months; however it can be extended for another 12 months if funding is available.

  • July 2021: New opening for Spring 2022: Funded PhD positions are available. The research areas are AI-based communications in IoT, coordinated multi-robot systems, and connected autonomous vehicles. Applicants are expected to have a master's degree in ECE or CS. Please attach an updated CV, a sample publication (such as a paper, report, or thesis), TOEFL/IELTS scores, and a cover letter including research interests. Qualified candidates are expected to have a strong background in mathematics, communications (or robotics), and computer programming. 

  • January 2021: The CSU Center for Human Machine Systems (CHMS) hosts a talk from Dr. Rahmati on Tuesday, 01-19-2021, at 1pm. The talk will explore the application of “Wireless Communications for Dynamic Interaction with Underwater Vehicles”.

  • November 2020: Fully funded PhD position is available for Fall 2021. (Update-May 2021: Position filled.)  

  • October 2020: The CSU chapter of ACM will be hosting a talk from Dr. Rahmati on Friday, 10-30-2020, at 5pm on Exploring the Futuristic Underwater Internet of Things.


  • Director

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Dr. Mehdi Rahmati

  • Graduate Students

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Interested in Joining ICAS Lab?

  • Post-doctoral Researchers and Visiting Scholars

    • We welcome inquiries regarding post-doc and visiting scholar possibilities in our lab. Please contact the professor directly.

  • Graduate Students

    • If you are inside CSU and have already enrolled in the program: contact us directly. Students who are interested in writing a master's thesis in the area of communications and autonomous systems can contact the professor directly.

    • If you are outside CSU: check the admission requirments, apply for the graduate program here, and contact us for more information.

  • Undergraduate Students

    • Students are welcome to participate in the research conducted in our lab throughout the year and in summer. Students who are interested in the Senior Design Project can contact the professor directly.

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Support Our Research

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We very much appreciate your kind support of our research endeavors. If you would like to discuss supporting our research, please contact the lab director for more information.


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2121 Euclid Ave., Fenn Hall 28
Cleveland State University
Cleveland, Ohio 44115-2214

Phone: +1 216-687-2538
Fax: +1 216-686-5405
Email: m.rahmati [@] csuohio [DOT] edu

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  • Directions from the South (I-77): Follow I-77 north to the East 22nd-East 14th Street exit (162B) to East 22nd Street. Turn left onto East 22nd Street; drive several blocks to Euclid Avenue. See map for visitor parking locations.

  • Directions from the South (I-71): Follow I-71 north to the East 22nd Street exit (172B). Turn left onto East 22nd Street; drive several blocks to Euclid Avenue. See map for visitor parking locations.

  • Directions from the East: Follow I-90 west to the Chester Avenue-CSU exit (173B). Turn left onto East 24th Street; drive a half block to Chester Avenue. See map for visitor parking locations.

  • Directions from the West (I-90): Follow I-90 east to the East 22nd Street exit (172B). Turn left onto East 22nd Street; drive several blocks to Euclid Avenue. See map for visitor parking locations.

  • Directions from the West (Route 2): Follow the Shoreway (Route 2) east to I-77 and I-71 South. Exit at the Chester Avenue-CSU exit (173B). Turn left onto East 24th Street; drive a half block to Chester Avenue. See map for visitor parking locations.

Transportation from the airport

Upon arrival at Cleveland Hopkins (CLE) airport in Cleveland, you have the following transportation options to get into Cleveland:

  • Uber or Lyft

  • Ohio Connection: The Ohio Connection Shuttle service provide door to door transportation to and from the Cleveland Hopkins and the Akron–Canton Airport. For Rates and reservations visit their website.

  • Taxi: If you take a taxi from the airport to CSU, it will cost between 35.00 and 40.00 dollars.

  • Train: Located in the airport, the Rapid Transit will take you to Terminal Tower in downtown Cleveland, the train cost is 2.50 dollars. You can then take a free E-line Green bus which travels in a loop to CSU. You may also take a taxi from Terminal Tower to CSU that will cost 8.00-10.00 dollars.

Disclaimer: Cleveland State University is not affiliated with, nor does it endorse any transportation service provider that is listed above and utilized by any group or individual. Any group or individual who chooses to use any transportation services listed on this website does so at their own risk and responsibility without exception. ​​​​​​​