Find Academic Supervisors

• Telecommunications
• Wireless Communications
• Signal Processing
• +3 more

Nenad D. Milosevic serves as a Full Professor at the Department of Telecommunications, Faculty of Electronic Engineering, University of Niš, a position he attained in 2023 after earning all academic degrees at this institution. His educational background includes: PhD in Telecommunications (2007) Master's in Telecommunications (2000) Bachelor's in Telecommunications (1997) Research expertise spans Wireless Communications and Signal Processing , with specialized focus on spread spectrum systems, frequency hopping techniques, and free space optics. His work addresses critical challenges including interference rejection in DS-SS/QPSK systems, carrier frequency offset mitigation, and atmospheric turbulence effects in optical wireless channels. Analysis of his 20 impact-factor journal publications reveals consistent contributions to mobile-to-mobile fading channel modeling, 4G/5G networking architectures, and FSO system optimization. Recent work emphasizes practical solutions for real-world wireless communication constraints through advanced modulation and receiver design. He is currently engaged in one national research project advancing telecommunications technologies.

Constantine MukasaView profile

Teaching Professor

• Engineering Education
• Diverse and Inclusive Learning Environments
• Wireless Communications
• +3 more

Constantine Mukasa is an Associate Teaching Professor in the First Year Engineering Program at the College of Engineering, Northeastern University. His office is located at 368E Snell Engineering Center (SN), 360 Huntington Avenue, Boston, MA 02115. He is actively involved in initiatives to enhance engineering education through collaborative and inclusive learning environments. His research interests span both engineering education and wireless communications. In education, he focuses on fostering student engagement and diversity in early engineering curricula. In technical domains, his work addresses stochastic modeling of wireless networks, interference analysis, and cognitive radio systems. In 2020, he contributed to College of Engineering (COE) presentations at the ASEE Virtual National Conference, highlighting his involvement in advancing educational and technical scholarship. His publications analyze network performance under diverse fading conditions and interference scenarios, reflecting expertise in signal processing and communication theory. No specific grants or advisees are listed, but his programmatic role suggests significant contributions to undergraduate curriculum development and student mentorship. No dedicated labs or teams are explicitly mentioned in the provided information.

• Optical wireless communications
• Free-space optics (FSO)
• Intelligent reflecting surfaces (IRS)
• +4 more

Emna Zedini is an Assistant Professor of Computer Science in the College of Innovation and Technology at the University of Michigan–Flint , where she leads research at the intersection of optical wireless communications and autonomous driving technologies. Education Ph.D. in Electrical Engineering (2016) – King Abdullah University of Science and Technology (KAUST), Saudi Arabia M.Sc. in Telecommunications (2011) – École Supérieure des Communications de Tunis (SUP’COM), Tunisia Engineering Diploma (2010) – SUP’COM, Tunisia Research Focus Her work centers on channel modeling and performance analysis of optical wireless communication systems and the application of artificial intelligence and reinforcement learning to autonomous driving. She explores free-space optics (FSO), intelligent reflecting surfaces (IRS), visible-light communication (VLC), and underwater optical links, while also developing decision-making algorithms for safe intersection navigation. Publications & Trends Since 2014 she has published more than thirty IEEE journal and conference papers. Recent contributions (2024–2025) emphasize hybrid terrestrial/non-terrestrial FSO links, phase-error mitigation in optical IRS, and deep-learning-based precoding for multi-user VLC systems, demonstrating a clear trajectory toward integrating optics with AI-enabled networking. Scientific Awards MWIN Faculty Innovation Fellowship (2025) – Michigan Wolverine Innovation Network Grants & Funding Principal Investigator on the Integrated AI Module for Safe Navigation project funded by RCA, $20,000, 01 Sep 2025 – 31 Aug 2026. Laboratory & Teams She maintains an active research group within the Computer Science, Engineering, and Physics Department at the University of Michigan–Flint, focusing on experimental validation of optical links and real-world deployment of AI algorithms in connected-vehicle testbeds.

Marc AdratView profile

Professor

• Channel Coding
• Modulation Techniques
• Iterative Source-Channel Decoding
• +7 more

Marc Adrat is an Honorary Professor at RWTH Aachen University and Head of the Software Defined Radio research group at Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE). His dual role combines academic teaching with cutting-edge industrial research in communications engineering. Education: Diplom-Ingenieur in Electrical Engineering (1997), RWTH Aachen University Dr.-Ing. (PhD) in 2003 from Institute of Communication Systems and Data Processing (IND), RWTH Aachen Research Focus: Prof. Adrat specializes in channel coding , modulation techniques , and iterative decoding with particular emphasis on polar codes , BICM-ID systems , and EXIT chart analysis . His work bridges theoretical foundations with practical implementations in software-defined radio systems. His recent research directions include applying machine learning techniques (particularly genetic algorithms) to optimize communication systems, developing autoencoder-based signal enhancement methods, and advancing spectrum monitoring technologies for cognitive radio applications. Awards & Recognition: Best Paper Award at ICMCIS 2022 for work on spectrum monitoring techniques Appointed Honorary Professor by RWTH Aachen University in June 2024 Teaching & Supervision: Since 2009, he has taught courses on Modern Channel Coding for Wireless Communications and Advanced Coding and Modulation at RWTH Aachen. His teaching covers both theoretical foundations and practical implementations of modern communication systems. Laboratories & Teams: At Fraunhofer FKIE, he leads the Software Defined Radio research group, focusing on developing flexible, reconfigurable radio systems for military and civilian applications. The group works extensively on real-time implementations of advanced coding and modulation schemes.

• Machine Learning
• Neural Networks
• Computer Vision
• +5 more

Muhammad Shafi serves as a Lecturer in the School of Computing at Ulster University, Belfast campus, with his office located in Room BA-02-005 at 2-24 York Street, Belfast, BT15 1AP. His research focuses on cutting-edge applications of artificial intelligence and machine learning across multiple domains. Dr. Shafi's research interests span Machine Learning , Neural Networks , and Computer Vision , with particular emphasis on medical applications. His work bridges computer science with healthcare through innovative approaches to ECG interpretation, pediatric radiology, and arrhythmia diagnosis. His fingerprint analysis reveals significant contributions to Convolutional Neural Networks (100%), Neural Networks (64%), Machine Learning (48%), and specialized areas like Vision Transformers and Gated Recurrent Units. Analysis of Dr. Shafi's recent publications (2023-2025) reveals a strong research trajectory with 11 total outputs, including multiple high-impact journal articles. His work demonstrates a consistent focus on applying advanced machine learning techniques to solve real-world problems, particularly in medical diagnostics and wireless communications. The research shows increasing publication output from 3 articles in 2023 to 6 in 2025, indicating growing research productivity. Dr. Shafi's work contributes to UN Sustainable Development Goals, particularly those related to good health and well-being through his medical AI research. His h-index of 3 with 93 citations (based on Scopus data) reflects his emerging impact in the field. As a Lecturer, Dr. Shafi maintains an active research program with collaborations across multiple institutions. His work on neuromorphic models for medical applications represents an innovative intersection of neuroscience-inspired computing and healthcare diagnostics. His recent publications in journals like PLoS ONE and IEEE Access demonstrate his ability to publish in reputable, high-impact venues. Dr. Shafi maintains research activity across multiple laboratories and teams focused on computer science and medical informatics. His work with neuromorphic models suggests involvement with specialized computing architectures that mimic biological neural networks, representing a cutting-edge research direction with significant potential for medical applications.

• Radar Systems
• Ultra-wideband Engineering
• Frequency Diverse Arrays
• +3 more

Ram Mohan Narayanan is a Professor in Electrical Engineering, actively contributing to radar systems, ultra-wideband technologies, and microwave engineering. His work spans theoretical and applied research, with a focus on frequency diverse arrays, coherent distributed arrays, and non-destructive testing using noise-based microwave systems. His research interests include Radar systems and waveform diversity Ultra-wideband signal processing Antenna design and optimization Applications in structural diagnostics and materials characterization Recent publications highlight advancements in gradient-based optimization of coherent distributed arrays and the integration of natural language processing in radar systems. He also explores frequency diverse arrays using Sudoku square designs for improved spectral efficiency. Grants from the U.S. Navy support his work on spectral coexistence, cognitive MIMO apertures, and detection of IEDs using ultrawideband waveforms.

Lakshmi Prasad NatarajanView profile

Associate Professor

• Coding for Distributed Computation and Storage
• Index Coding with Side Information
• Network Coding for Wireless Systems
• +3 more

Lakshmi Prasad Natarajan is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad. His research focuses on coding techniques for distributed computation and storage, network coding, wireless communications, and applied mathematics. He earned his Ph.D. from the Indian Institute of Science (IISc) in Bengaluru. His research interests include: Coding for distributed computation and storage Index coding with side information Network coding for wireless systems Space-time codes Wireless communication & networks Applied mathematics Recent work involves developing capacity-achieving codes (BiD Codes, Recursive Subproduct Codes) for 6G communication systems. He actively mentors PhD candidates, emphasizing theoretical research in code constructions and decoder design under the Qualcomm 6G University Research India Program. He acknowledges support from: Department of Science and Technology, Government of India Science and Engineering Research Board, Government of India Qualcomm Inc. He collaborates on projects targeting next-generation communication systems, focusing on algebraic coding and channel optimization. The group provides rigorous theoretical training and academic mentorship to students.

Yung-Lyul LeeView profile

Professor

• Video Coding Standard
• 360 Video Coding
• Image Processing
• +3 more

Yung-Lyul Lee is a full Professor in the Department of Computer Science and Engineering at Sejong University, where he has held a faculty position since 2001. His academic career spans over three decades with significant contributions to video coding standards development and implementation. His educational background includes: Ph.D. in Computer Science from KAIST (1992) M.S. in Computer Science from Sogang University (1988) B.S. in Computer Science from Sogang University (1985) Professor Lee's research focuses on advanced video coding technologies, particularly in standard development (HEVC/H.265, VVC), 360° video processing, and CNN-integrated compression systems. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and standard contribution documents. Current research emphasizes machine learning integration in video coding frameworks and next-generation standard development. Analysis of his recent publications reveals a strong trend toward AI-enhanced video compression, with 60% of 2021-2023 papers incorporating deep learning techniques. His research maintains consistent focus on computational efficiency (appearing in 85% of recent works) and hardware implementation considerations (75% of publications). Major recognitions include: Minister Prize from Korea Ministry of Commerce, Industry and Energy Korea Science Technology Superiority Paper Prize With Google Scholar citations exceeding 5,300 and an h-index of 34, his work demonstrates significant academic impact. He currently serves as Senior Vice President of KIBME (The Korea Institute of Broadcast and Media Engineers) while maintaining active research leadership through conference chair positions and standardization committee contributions.

John R. BarryView profile

Professor

• Communication Theory
• Wireless Communications
• Optical Communications
• +4 more

John R. Barry is a Professor at the School of Electrical and Computer Engineering, Georgia Institute of Technology. He holds a Ph.D. in Electrical Engineering from UC Berkeley (1992) and previously worked at Bell Communications Research, IBM, Hughes Aircraft, and General Dynamics. His research spans communication theory , wireless systems , optical communications , and magnetic recording , with a focus on modulation, coding, synchronization, and equalization . Education : B.S., State University of New York at Buffalo (1986) M.S., University of California at Berkeley (1987) Ph.D., University of California at Berkeley (1992) His recent journal and conference publications address multi-cell MIMO , polar codes for recording , two-dimensional magnetic recording , and joint radar-communication systems . Articles span IEEE Transactions on Magnetics , IEEE Transactions on Communications , and Globecom conferences, covering topics like timing recovery at low SNR , iterative equalization , and space-time coding . Scientific Awards : David J. Griep Memorial Prize (1992) Eliahu Jury Award (1993) NSF Research Initiation Award (1993) IBM Faculty Development Award (1993) Senior Member, IEEE He has advised 15 Ph.D. students and 2 M.S. students, including Hyuncheol Park , Chen-Chu Yeh , and Elnaz Sadeghian , all pursuing careers in academia and industry. His lab has received grants for iterative timing recovery , multi-input multi-output (MIMO) systems , and optical wireless communication . Professor Barry's research group has contributed to patents in timing recovery and MIMO detection, with applications in wireless and optical systems. He served as Guest Editor for the IEEE Journal on Selected Areas in Communications and Technical Program Chair for IEEE Globecom 2013 .

Yves AudetView profile

Associate Professor

• Integrated Circuits
• Electronic Circuits and Devices
• Microelectronics
• +9 more

Yves Audet is an Associate Professor in the Department of Electrical Engineering at Polytechnique Montréal, affiliated with three centers of excellence: Industry of the Future and Digital Society (primary), Energy, Water and Resources , and Transport and Sustainable Infrastructure . He holds a B.Sc. and M.Sc. from Sherbrooke University and a Ph.D. from Simon Fraser University. His research bridges integrated circuit design , energy systems , and microsensor technology , with focus areas including: Ultra-low power CMOS circuits for energy harvesting High-speed isolated data communication (capacitive/inductive) Spectral imaging sensors and Hall-effect isolators Radiation-hardened avionics systems Photovoltaic and RF power conversion Analysis of his 62 publications reveals strong emphasis on: Optimizing power-delay tradeoffs in communication systems (7 recent papers on isolators) Advancing start-up circuits for sub-50mV energy harvesters Developing miniaturized sensor interfaces for IoT/industrial applications Improving fault tolerance in FPGAs and avionics He has supervised 19 graduate students (6 PhD, 13 Master's) working on projects spanning CMOS spectrometers, UAV wireless charging, and radiation-hardened circuits. No awards are documented, but he holds 2 patents in CMOS photodetection technology.

• Optical Communications
• All-Optical Regeneration
• Clock Recovery
• +5 more

Vincent Roncin is an Assistant Professor (Maître de Conférences) at University of Paris 13, affiliated with the Laboratoire de Physique des Lasers (LPL), UMR 7538. His research focuses on optical communications, particularly all-optical signal processing techniques for high-speed telecommunications. Roncin's primary research interests span optical communications, all-optical regeneration, clock recovery mechanisms, semiconductor and quantum dot lasers, frequency metrology, and Brillouin amplification. His work bridges fundamental photonics research with practical telecommunications applications, particularly in high-speed optical networks requiring precise timing and signal quality. He has made significant contributions to understanding patterning effects in clock recovery systems and developing techniques for frequency stability transfer using advanced laser technologies. His publication record shows a consistent research trajectory from 2003 to 2022, with recent work focusing on frequency stability transfer using quantum dash lasers and fiber-based ring cavities. The publications demonstrate a progression from fundamental optical regeneration techniques to more specialized frequency metrology applications, reflecting both depth and evolution in his research focus. His work primarily appears in high-impact optics and photonics journals including IEEE Journal of Quantum Electronics, Optics Express, and Applied Optics. Roncin maintains active collaborations with researchers across France and internationally, particularly with institutions in Rennes and Dublin. His research has practical applications in optical telecommunications, precision metrology, and high-speed data transmission systems. He completed his PhD at University of Rennes 1 in 2004 with a thesis on optical functions based on semiconductor optical amplifiers for telecommunications signal regeneration. In 2019, he obtained his Habilitation à diriger des recherches (HDR) from University of Paris 13 with research on self-pulsing semiconductor lasers and their applications to optical telecommunications and frequency metrology. Roncin works within the Laboratoire de Physique des Lasers, a research unit (UMR 7538) that focuses on atomic physics, quantum gases, laser development, and optical metrology. His experimental work utilizes specialized optical laboratories including experimental space L312 at University of Paris 13.

Fereydoun DaneshgaranView profile

Professor

• Wireless Communications
• Digital Communications
• Coding Theory
• +7 more

Fereydoun Daneshgaran is a Professor and Chairman of the Electrical & Computer Engineering Department at California State University, Los Angeles, where he has served since 2006. He also directs the fiber and nonlinear optics research laboratory and has held various academic leadership positions including chairman of the Communications group and acting chairman of the ECE Department. Dr. Daneshgaran's educational background includes: Ph.D. in Communications, VLSI, and Optimization from UCLA (1992) M.S. (Magna Cum Laude) in Communications, Solid State Electronics, and Control Systems from Cal State LA (1985) B.S. (Magna Cum Laude) in Electrical and Mechanical Engineering from Cal State LA (1983) Dr. Daneshgaran's primary research interests focus on wireless communications, digital communications, and information theory. His work spans multiple specialized areas including coding theory (particularly Turbo Codes and LDPC codes), quantum key distribution, cognitive radio, and network localization. His research has significant applications in wireless networking protocols, particularly IEEE 802.11 standards, with numerous publications analyzing throughput performance under various network conditions. He has also made substantial contributions to optical communications and signal processing techniques. Dr. Daneshgaran's publication record shows a progression from foundational work in Viterbi decoding and turbo codes to more recent applications in quantum communications and advanced wireless network protocols. His research consistently bridges theoretical communications theory with practical implementations, as evidenced by both his extensive journal publications and industry experience. His scientific achievements include: Best Paper Award at First International Conference on Advances in Satellite and Space Communications (SPACOMM 2009) U.S. Patent No. US 2007/0079223 A1 for "A method and system for Information processing" Dr. Daneshgaran has supervised numerous Ph.D. students and visiting scholars, primarily from Politecnico University of Turin (POLITO), Italy, fostering international research collaborations. His academic leadership extends to developing and teaching the entire graduate sequence in digital communications at Cal State LA, along with specialized courses in wireless communications, cognitive radio, and optical communication systems. He has also maintained industry connections through various consulting roles and entrepreneurial ventures in communications technology. As director of the fiber and nonlinear optics research laboratory from 1994 to 2015, Dr. Daneshgaran led research in optical communications and related technologies. His work has bridged theoretical communications research with practical implementations, as evidenced by both his academic publications and industry experience founding companies like EuroConcepts S.r.l. and Quantum Bit Communications, LLC.

• Telecommunications Engineering
• Radio Wave Propagation
• Wireless Communication Networks
• +5 more

Nikolay Dimitrov Tashkov is a Professor at Technical University of Gabrovo, Bulgaria, with extensive experience in telecommunications engineering and radio wave technology. He maintains offices in cabinets 2206 and 2213 and teaches Radio Wave Engineering at the bachelor's level. His research spans multiple domains of telecommunications with a particular focus on wireless networks, signal propagation, and broadcast systems. Professor Tashkov's research interests center around telecommunications engineering with specialization in radio wave propagation, wireless communication networks, and digital signal processing. His work examines various modulation techniques including QPSK, 16QAM, and 64QAM, and investigates signal behavior in different environments from urban settings to indoor spaces. He has made significant contributions to understanding radio frequency planning, monitoring systems for broadcast technologies, and the design of wireless networks for both municipal and office environments. His publication record shows a consistent focus on practical applications of telecommunications theory, with recent work analyzing DVB-T systems, IPTV streaming, DAB+ monitoring, and Wi-Fi coverage patterns. The research demonstrates a progression from fundamental radio wave theory to increasingly complex modern communication systems, with particular attention to quality of service metrics and real-world implementation challenges. Professor Tashkov has successfully supervised four PhD students to completion, with research topics including digital modulation format optimization, telecommunication network monitoring and control, radio frequency planning, and digital modulation schemes in wireless communications. His research has been supported by seven completed projects, including both internal university projects and external collaborations like the BG051 project supporting scientific personnel growth in engineering sciences. His laboratory work appears focused on practical telecommunications systems, with publications covering RF monitoring equipment, signal analysis tools, and network design methodologies. The research infrastructure likely includes facilities for testing wireless networks, broadcast systems, and signal processing equipment, though specific laboratory names are not mentioned in the available documentation.

• Telecommunications
• Digital Communications
• Modulation
• +2 more

Miroslav Nikolaev Makarov serves as a Lecturer at Technical University of Gabrovo, Bulgaria, contributing to engineering education as faculty staff. His research concentrates on telecommunications with specialization in digital communications and modulation techniques. Key interests include Bit Error Rate (BER) analysis in Quadrature Amplitude Modulation systems, critical for wireless communication reliability and performance optimization in modern telecommunication networks. The documented 2011 publication on BER in QAM modulation reveals his focus on practical error-performance evaluation within digital communication systems, situated at the intersection of electrical engineering and signal processing disciplines. No scientific awards were referenced in the available materials. Information regarding student supervision, research funding, or laboratory affiliations was not provided in the source documentation.