Lyles College of Engineering

Hovannes Kulhandjian

Associate Professor

Electrical & Computer Engineering | 5592783965 | Office: EE 260

Education

- Ph.D. degree in Electrical Engineering from the State University of New York at Buffalo in 2014.
- M.S. degree in Electrical Engineering from the State University of New York at Buffalo in 2010.
- B.S. degree in Electronics Engineering with high honors (magna cum laude) from the American University in Cairo (AUC) in 2008.

Personal Website click here.

Courses Taught

Undergraduate Courses:

Graduate Courses:

Hovannes Kulhandjian is an Associate Professor in the Department of Electrical and Computer Engineering at California State University, Fresno (Fresno State). Before joining Fresno State he was an Associate Research Engineer in the Department of Electrical and Computer Engineering at Northeastern University.

He received his B.S. degree in Electronics Engineering with high honors (magna cum laude) from the American University in Cairo (AUC) in 2008, and his M.S. and Ph.D. degrees in Electrical Engineering from the State University of New York at Buffalo in 2010 and 2014, respectively. During his Ph.D. training, he was working in the Wireless Networks and Embedded Systems (WiNES) Laboratory at the State University of New York at Buffalo under the guidance of Prof. Tommaso Melodia.

His current research interests are in wireless communications, applied machine learning, intelligent transportation systems, precision agriculture, underwater acoustic communications, visible light communications, brain computer interfaces, physical layer security, robotics and artificial intelligence. He is Senior Member of Institute of Electrical and Electronics Engineers (IEEE) and has authored, co-authored several dozen peer reviewed journals, technical reports, and conference papers.

Dr. Kulhandjian's research at Fresno State is sponsored by Department of Defense (DOD) Research and Education Program, Research Alliance Seed Grant Program of NSF-ADVANCE Partnership Grant, Claude C. Laval Award for Innovative Technology and Research, CSU-WATER Faculty Research Incentive and Fresno State Transportation Institute (FSTI) SB1 Research Grant 6 years in a row.

He served as a Guest Editor for IEEE Access Special Section Journal and Journal of Sensor and Actuator Networks (JSAN) - Special Section Journal on Underwater Communications and Sensor Networks, Session Co-Chair for IEEE UComms 2020 and 2018 Conferences, and Publicity Co-Chair for IEEE BlackSeaCom Conference 2021. He also serves as a member of the Technical Program Committee (TCP) for ACM and IEEE Conferences such as GLOBECOM 2024, ICC 2018, WiMob 2018, WD 2020, ICC 2016, WUWNet 2021, and VTC Fall 2015. He is a recipient of the Outstanding Reviewer Award from ELSEVIER Ad Hoc Networks and ELSEVIER Computer Networks.

Artificial Intelligence,
Applied Machine Learning,
Digital signal processing,
Wireless communications and networking with applications to underwater and visible light communications.

Book Chapters:

T. Melodia, H. Kulhandjian, L. Kuo, and E. Demirors, "Advances in Underwater Acoustic Networking," in Mobile Ad Hoc Networking: Cutting Edge Directions , Eds. S. Basagni, M. Conti, S. Giordano and I. Stojmenovic, John Wiley and Sons, Inc., Hoboken, NJ, Second Edition, pp. 804-852, 2013. [pdf] [bibtex]

Patents:

H. Kulhandjian A. Davis, L. Leong and M. Bendot "SYSTEM AND METHOD FOR HUMAN AND ANIMAL DETECTION IN LOW VISIBILITY," in Google Patents, Patent Application 5124.002US1 filed on May 12, 2021. Accepted March 13, 2024.

Refereed Technical Reports:

H. Kulhandjian, "AI-Based Bridge and Road Inspection Framework Using Drones," in California State Transportation Consortium, Project No. 2127, pp. 1-37, November, 2023. [pdf]
H. Kulhandjian, "AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera," in California State Transportation Consortium, Project No. 2127, pp. 1-42, March, 2022. [pdf] [bibtex]

H. Kulhandjian, "Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning," in California State Transportation Consortium, Project No. 2015, pp. 1-34, Sept., 2021. [pdf]
H. Kulhandjian, "Research Brief: Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning," in California State Transportation Consortium, Project No. 2015, pp. 1-2, Sept., 2021. [pdf]
H. Kulhandjian, "A Visible Light Communications Framework for Intelligent Transportation Systems," in California State Transportation Consortium, Project No. 1911, pp. 1-36, Aug., 2020. [pdf] [bibtex]
H. Kulhandjian, "Research Brief: A Visible Light Communications Framework for Intelligent Transportation Systems," in California State Transportation Consortium, Project No. 1911, pp. 1-2, Aug., 2020. [pdf] [bibtex]

Journal Editorials:

K.-H. Park, M. A. Imran, P. Casari, H. Kulhandjian, H. Chen, A. Abdi, F. Dalgleish, "IEEE Access Special Section Editorial: Underwater Wireless Communications and Networking," IEEE Access, vol. 7, pp. 52288-52294, 2019. DOI: 10.1109/ACCESS.2019.2908768. [pdf] [bibtex]

Journals and Magazines:

N. Parvaresh, M. Kulhandjian, H. Kulhandjian, C. D'Amours, B. Kantarci, "A tutorial on AI-powered 3D deployment of drone base stations: State of the art, applications and challenges," Elsevier, Vehicular Communications, vol. 36, August 2022, 100474. https://doi.org/10.1016/j.vehcom.2022.100474.
M. Kulhandjian, H. Kulhandjian, C. D'Amours, H. Yanikomeroglu, D.A. Pados, "Low-Complexity Decoder for Overloaded Uniquely Decodable Synchronous CDMA," IEEE Access, vol. 10, pp. 46255-46275, 2022. DOI 10.1109/ACCESS.2022.3170491.

M. Kulhandjian, G. K. Kurt, H. Kulhandjian, H. Yanikomeroglu, C. D'Amours, "NOMA Computation Over Multi-Access Channels for Multimodal Sensing," IEEE Wireless Communications Letters, vol. 9, pp. 33963-33993, 2021. DOI 10.1109/LWC.2021.3108036. [pdf]
M. Kulhandjian, H. Kulhandjian, C. D'Amours, L. Hanzo, "Low-Density Spreading Codes for NOMA Systems and a Gaussian Separability-Based Design," IEEE Access, vol. 9, pp. 33963-33993, 2021. DOI 10.1109/ACCESS.2021.3060879. [pdf]
Z. Guan, H. Kulhandjian, T. Melodia, "Stochastic Channel Access in Underwater Networks With Statistical Interference Modeling," IEEE Transactions on Mobile Computing, May 7, 2020. DOI 10.1109/TMC.2020.2993026. [pdf]
M. Kulhandjian, E. Bedeer, H. Kulhandjian, C. D'Amours, H. Yanikomeroglu, "Low-Complexity Detection for Faster-than-Nyquist Signaling based on Probabilistic Data Association," IEEE Communications Letters, DOI 10.1109/LCOMM.2019.2962022, Dec. 2019. [pdf] [bibtex]
M. Kulhandjian, C. D'Amours, H. Kulhandjian, "Multi-way Physical-layer Network Coding via Uniquely-decodable Codes," Hindawi, Wireless Communications and Mobile Computing, Volume 2018, Article ID 2034870, April 2018. [pdf] [bibtex]
H. Kulhandjian, T. Melodia, D. Koutsonikolas, "CDMA-based Analog Network Coding for Underwater Acoustic Sensor Networks," IEEE Transactions on Wireless Communications, vol. 14, no. 11, pp. 6495-6507, November 2015. [pdf] [bibtex]
H. Kulhandjian, "Inside Out: Underwater Communications," The Journal of Ocean Technology (JOT), vol. 9, no. 2, pp. 104-105, July 2014. [pdf] [bibtex]

Conference Papers:

M. Kulhandjian, H. Kulhandjian, G. K. Kurt and H.Yanikomeroglu, "Delay-Doppler Domain Pulse Design for OTFS-NOMA," accepted in Proc. of IEEE Intl. Conf. on Communications (ICC) Workshop on OTFS and Delay-Doppler Multicarrier Communications for 6G, Denver, Colorado, June 2024.
H. Kulhandjian, J. M. Torres, N. Amely, C. Nieves, C. Reeves, M. Kulhandjian, "AI-based Road Inspection Framework using Drones with GPS-less Navigation," in Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, Feb. 2024.
H. Kulhandjian, D. Rocha, B. Bennett, N. Amely, M. Kulhandjian, "AI-based Precision Weed Detection and Elimination," in Proc. of 16th International Conference on Precision Agriculture, Manhattan, Kansas, July 2024.
S. Asai and H. Kulhandjian, "Almonds and Pistachios: Sustaining Legacy, Innovations, and Nutritional Advancements in California," in Proc. of 16th International Conference on Precision Agriculture, Manhattan, Kansas, July 2024.
H. Kulhandjian, Y. Yang and N. Amely, "Design and Implementation of a Smart Agricultural Robot bullDOG (SARDOG)," in Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, Feb. 2024.
H. Kulhandjian, B. Poorman, J. Gutierrez, M. Kulhandjian, "AI-powered Emergency Keyword Detection for Autonomous Vehicles," in Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, Feb. 2024.
H. Kulhandjian, B. Irineo, J. Sales, M. Kulhandjian, "Low-Cost Tree Health Categorization and Localization Using Drones and Machine Learning," in Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, Feb. 2024.
G. Dzhezyan H. Kulhandjian, M. Kulhandjian, and M. Rahaim, "Low-cost Optical Wireless CDMA Transceiver Design for IoT Applications," in Proc. of 2023 IEEE Latin-American Conference on Communications (LATINCOM), Panama City, Panama, Nov. 2023.
M. Kulhandjian, H. Kulhandjian, and Ashutosh Sabharwal, "AWACS Radar Aircraft Trajectory Tracking via Networked Ground Receiver Stations," in Proc. of IEEE Asilomar Conference on Signals, Systems, and Computers), Pacific Grove, CA, Oct. 29th - Nov 1st, 2023.
H. Kulhandjian, A. Davis, L. Leong, M. Bendot, M. Kulhandjian, "AI-based Human Detection and Localization in Heavy Smoke using Radar and IR Camera," in Proc. of IEEE Radar Conference (RadarConf'2023), San Antonio, Texas, May 2023.
H. Kulhandjian, E. Batz, E. Garcia, S. Vega, S. Velma, M. Kulhandjian, C. D'Amours, B. Kantarci, T. Mukherjee, "AI-based RF-Fingerprinting Framework and Implementation using Software-Defined Radios," in Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Honolulu, Hawaii, Feb. 2023. [pdf]
H. Kulhandjian, J. Barron, M. Tamiyasu, M. Thompson, M. Kulhandjian, "Pedestrian Detection and Avoidance at Night Using Multiple Sensors and Machine Learning," in Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Honolulu, Hawaii, Feb. 2023. [pdf]
H. Kulhandjian, N. Martinez, M. Kulhandjian, "Drowsy Driver Detection using Deep Learning and Multi-Sensor Data Fusion," in Proc. of IEEE Vehicle Power and Propulsion Conference (IEEE VPPC 2022), Merced, CA, Nov., 2022.
M. Kulhandjian, G. Dzhezyan, H. Kulhandjian, C. D'Amours, "Pulse Shaping for Faster-Than-Nyquist to Enable Low-Complexity Detection," in Proc. of IEEE Military Communication Conference (MILCOM), Rockville, MD, 28 Nov. - 2 Dec., 2022.
H. Kulhandjian, W. Greives, M. Kulhandjian, "Smart Traffic Light Controller using Visible Light Communications," in Proc. of IEEE Vehicle Power and Propulsion Conference (IEEE VPPC 2022), Merced, CA, Nov., 2022.
G. Dzhezyan, M. Kulhandjian, H. Kulhandjian, C. D'Amours, "Implementation of Faster-than-Nyquist Signaling using Software Defined Radios," in Proc. of the GNU Radio Conference (GRCon), Washington, DC, Sept. 2022.
A. Ahmed, G. Dzhezyan, H. Aboutahoun, V. Chu, J. DiViccaro, V. Ohanian, S. Rezaeiboroujerdi, I. Saheb, E. Urban, J. Wu, M. Kulhandjian, H. Kulhandjian, M. Rahaim, "SDR Beyond Radio: An OOT GNU Radio Library for Simulation and Deployment of Multi-Cell/Multi-User Optical Wireless Communication Systems," in Proc. of the GNU Radio Conference (GRCon), Washington, DC, Sept. 2022.

M. Kulhandjian, H. Kulhandjian, C. D'Amours, "Uniquely Decodable Ternary Codes via Augmented Sylvester-Hadamard Matrices," in Proc. of IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Virtual Conference, May, 2021. [pdf]
W. Greives, H. Kulhandjian, "Design and Experimentation of a Low-cost Receiver for Visible Light Communications," in Proc. of IEEE Latin-American Conference on Communications (LATICOM 2020), Virtual Conference, November, 2020. [pdf] [bibtex]
H. Kulhandjian, P. Sharma, M. Kulhandjian, C. D'Amours, "Sign Language Gesture Recognition using Doppler Radar and Deep Learning," in Proc. of IEEE GLOBECOM Workshop on Machine Learning for Wireless Communications, Waikoloa, HI, USA, December, 2019. [pdf] [bibtex]
M. Kulhandjian, H. Kulhandjian, C. D'Amours, "Code Design for Noncoherent Detection in Satellite Communication Systems," in Proc. of IEEE International conference on Wireless Communications & Mobile Computing (IWCMC 2020), Limassol, Cyprus, June, 2020. [pdf] [bibtex]
H. Kulhandjian, N. Ramachandran, M. Kulhandjian, C. D'Amours, "Human Activity Classification in Underwater using sonar and Deep Learning," in Proc. of ACM Conference on Underwater Networks and Systems (WUWNet), Atlanta, GA, USA, October, 2019. [pdf] [bibtex]
M. Kulhandjian, L. Aslanyan, H. Sahakyan, H. Kulhandjian, C. D'Amours,"Multidisciplinary Discussion on 5G from the Viewpoint of Algebraic Combinatorics," in Proc. of IEEE Computer Science and Information Technologies (CSIT), Yerevan, Armenia, Sept. 2019, pp. 69-76. doi:10.1109/CSITechnol.2019.8895166 [pdf] [bibtex]
M. Kulhandjian, C. D'Amours, H. Kulhandjian, "Improved Soft Decoding of Reed-Solomon Codes on Gilbert-Elliott Channels," in Proc. of IEEE International Symposium on Information Theory (ISIT), Paris, France, July, 2019. [pdf] [bibtex]
M. Kulhandjian, H. Kulhandjian, C. D'Amours, D. Pados, "Digital Recording System Identification Based on Blind Deconvolution," in Proc. of IEEE Wireless Telecommunications Symposium (WTS), New York City, NY, USA, April, 2019. [pdf] [bibtex]
M. Kulhandjian, H. Kulhandjian, C. D'Amours, H. Yanikomeroglu, G. Khachatrian, "Fast Decoder for Overloaded Uniquely Decodable Synchronous Optical CDMA," in Proc. of IEEE Wireless Comm. and Networking Conf. (WCNC), Marrakech, Morocco, April, 2019. [pdf] [bibtex]
M. Kulhandjian, C. D'Amours, H. Kulhandjian, "Uniquely Decodable Ternary Codes for Synchronous CDMA Systems," in Proc. of IEEE Indoor, Mobile Radio Conf. (PIMRC), Bologna, Italy, Sept. 2018. [pdf] [bibtex]
H. Kulhandjian, M. Kulhandjian, Y. Kim, C. D'Amours, "2-D DOA Estimation of Coherent Wideband Signals with Auxiliary-Vector Basis," in Proc. of IEEE Intl. Conf. on Communications (ICC) Workshop on Advances in Network Localization and Navigation (ANLN), Kansas City, MO, USA, May 2018. [pdf] [bibtex]
H. Kulhandjian and T. Melodia, "Modeling Underwater Acoustic Channels in Short-range Shallow Water Environments," in Proc. of ACM Intl. Conf. on Underwater Networks & Systems (WUWNet), Rome, Italy, November 2014. [pdf] [bibtex]
H. Kulhandjian and T. Melodia, "A Low-cost Distributed Networked Localization and Time-synchronization Framework for Underwater Acoustic Testbeds," in Proc. of IEEE Underwater Communications Conf. and Workshop (UComms), Sestri Levante, Italy, September 2014. [pdf] [bibtex]
H. Kulhandjian, T. Melodia, D. Koutsonikolas, "Securing Underwater Acoustic Communications through Analog Network Coding," in Proc. of IEEE Intl. Conf. on Sensing, Communication, and Networking (SECON), Singapore, June 2014. [pdf] [bibtex]
J. Jagannath, A. Saji, H. Kulhandjian, Y. Sun, E. Demirors, T. Melodia, "A Hybrid MAC Protocol with Channel-dependent Optimized Scheduling for Clustered Underwater Acoustic Sensor Networks," in Proc. of ACM Conference on Underwater Networks and Systems (WUWNet), Kaohsiung, Taiwan, November 2013. [pdf] [bibtex]
H. Kulhandjian, T. Melodia, D. Koutsonikolas, "CDMA-based Analog Network Coding through Interference Cancellation for Underwater Acoustic Sensor Networks," in Proc. of ACM Intl. Conf. on UnderWater Networks and Systems (WUWNet), Los Angeles, CA, USA, November 2012. [pdf] [bibtex]
H. Kulhandjian, L. Kuo, T. Melodia, D. Pados, D. Green, "Towards Experimental Evaluation of Software-Defined Underwater Networked Systems," in Proc. of IEEE Underwater Communications Conf. and Workshop (UComms), Sestri Levante, Italy, September 2012. [pdf] [bibtex]
R. Biswas, M. Kandel, G. Mehta, H. Kulhandjian, A. Verevkin, A. T. Fam, and N. M. Litchinitser, "Antiresonant-Guiding Photonic Crystal Fibers for Refractive Index Gradients Sensing," in Frontiers in Optics, OSA Technical Digest (CD) (Optical Society of America), paper FTuE5 (2009). [pdf] [bibtex]

Posters and Extended Abstracts:

H. Kulhandjian, B. Sharma, M. Kulhandjian, C. D'Amours,"Development of a Multi-source Energy-Harvesting Buoy for Underwater Acoustic Sensor Networking Application"," in Proc. of ACM Conference on Underwater Networks and Systems (WUWNet), Atlanta, GA, USA, October, 2019. [pdf] [bibtex]
H. Kulhandjian, L. Kuo, T. Melodia, "Extended Abstract: Development of a Reconfigurable Underwater Networking Testbed," in Proc. of ACM Intl. Conf. on UnderWater Networks and Systems (WUWNet), Los Angeles, CA, USA, November 2012. [pdf] [poster] [bibtex]

Theses:

H. Kulhandjian, "Enabling High Throughput and Secure Underwater Wireless Networks through Advanced Signal Processing Techniques," Ph.D. Thesis, Department of Electrical Engineering, State University of New York at Buffalo, August 2014. [ProQuest] [bibtex]