جست‌وجوی استاد و پژوهشگر

Murat Torlakمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Antenna Systems
• +۷ مورد دیگر

Murat Torlak is a Professor in the Department of Electrical Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from the University of Texas at Austin (1999), an M.S. from The University of Texas at Austin (1995), and a B.S. from Hacettepe University (1992). His research focuses on wireless communications, signal processing, MIMO systems, and automotive radar technologies. He has led projects on 4G/5G network optimization, spectrum sensing, and RF interference mitigation. Research interests include optimizing radio link protocols, cognitive radio networks, and antenna array design. Notable contributions include advancements in beamforming, MIMO testbed development, and real-time implementation of wireless systems. He has received grants totaling over $2M, including funding from NIH, NSF, and Texas Instruments. His work on automotive radar signal processing and mmWave imaging has been highlighted in news articles, emphasizing innovations in multi-user MIMO and global roaming technologies. Awards include the 2004 IEEE Outstanding Service Award and a 2001 Best Paper Award. His lab collaborates on projects like the 'Generic Autonomous Platform for Sensor Systems' (GAP4S) and cochlear implant stimulation systems. Grants: Over 15 funded projects, including NIH grants for cochlear implant research and Texas Instruments grants for OFDM systems. Awards: IEEE honors, NSF fellowships, and industry accolades. Projects: Developed MIMO-SAR mmWave imaging testbeds and advanced interference mitigation techniques.

• Telecommunications
• Antenna Design
• Wireless Communication
• +۱۷ مورد دیگر

Houda Harkat is an Assistant Professor at Universidade Lusófona, affiliated with the Associação para a Investigação e Desenvolvimento em Cognição e Computação Centrado nas Pessoas. She also holds research positions as a Researcher at Université Sidi Mohamed Ben Abdellah, Faculté des Sciences et Techniques de Fès, and as an Invited Auxiliary Researcher at UNINOVA Instituto de Desenvolvimento de Novas Tecnologias. Her academic foundation includes a PhD in Engineering Sciences, a Master’s in Telecom and Network Engineering, and a Licence in Mathematics, Informatics, and Physics, all from Moroccan institutions. PhD in Engineering Sciences, Physical Sciences, Mathematics and Computer Science – Université Sidi Mohamed Ben Abdellah (2018) Master in Telecom and Network Engineering – Université Sidi Mohamed Ben Abdellah (2013) Licence in Mathematics, Informatics, and Physics – Université Sidi Mohamed Ben Abdellah (2010) Her research spans two key domains: telecommunications and antenna systems , focusing on UWB antennas, beam steering, WiMAX/WLAN, and microstrip arrays; and artificial intelligence for environmental and human sensing , including wildfire detection using aerial imagery and deep learning (e.g., Deeplabv3+, MobileNetv2), and Wi-Fi-based gesture/sign language recognition via Channel State Information (CSI). Her work integrates simulation tools like HFSS and CST with optimization techniques such as genetic algorithms. The recent publications highlight a clear shift toward AI-driven solutions in cyber-physical systems, particularly in fire detection and segmentation using deep learning models, alongside continued contributions in wireless communication and antenna design. Her interdisciplinary work bridges signal processing, machine learning, and environmental monitoring, with growing emphasis on unmanned aerial systems and IoT-based decision support. Her scientific contributions include 11 journal articles, 4 book chapters, and numerous conference papers. She has participated in multiple research projects as a PhD and post-doctoral fellow, contributing to advancements in GPR signal processing, wireless sensing, and intelligent systems. Project participation: PhD Student Fellow in 1 project Post-doc Fellow in 1 project Organized 3 academic events Houda Harkat is actively involved in interdisciplinary research labs and teams focusing on intelligent systems, including UNINOVA’s Institute for New Technologies Development and wildfire monitoring initiatives such as the FIREFRONT project, which leverages aerial vehicles and AI for firefront forecasting and disaster management support.

ERHAN İNCEمشاهده پروفایل

استاد

• Mobile Communications
• Channel Coding
• Multi-carrier Techniques (OFDM, OFDMA)
• +۷ مورد دیگر

Prof. Erhan İnce is a faculty member in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), where he has served since 1998. He holds a PhD in Communications from the University of Bradford (1997) and MS/BS degrees in Electrical and Electronic Engineering from the University of Bucknell (1992, 1990). His research focuses on mobile communications, channel coding, OFDM/OFDMA, statistical signal processing, and facial recognition. He has supervised numerous PhD and MS students, including Ramin Bakhshi, Syed Amjad Ali, and Waseem Qassab Bash. Key projects include 'Monitoring KKTCELL's Base Stations' (2018-2019) and 'Background Subtraction and Lane Occupancy Analysis' (2011). He received an award at the 1998 Symposium on Communication Systems & Digital Signal Processing. His work spans peer-reviewed journals (IEEE Access, Digital Signal Processing) and books on video surveillance. He actively contributes to IEEE and other academic communities.

• Digital Signal Processing
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. HÜSEYİN ÖZKARAMANLI is the current Dean of the Faculty of Engineering at Eastern Mediterranean University (EMU). He holds a PhD in Electronics and Digital Signal Processing from Tufts University (1995), an MS in Electrical and Electronic Engineering from Tufts University (1992), and a BS in Electrical Engineering and Physics from Tufts University (1990). His research focuses on image processing, sparse representation, wavelet transforms, and signal processing applications. He has supervised numerous PhD and Master’s theses, including works on image denoising, single-image super-resolution, and dictionary learning. Notable advisees include Guls̈her Ali Lund Baloch (2018), Faezeh Yeganli (2015), and Mahmoud Khaled Ahmed Nazzal (2015). His academic contributions span signal integrity, OFDM signal processing, and multiwavelet-based compression techniques. Prof. Özkaramanli’s work integrates theoretical frameworks with practical applications in digital imaging and machine learning. His office is located in EE 105, and he can be reached via email at huseyin.ozkaramanli@emu.edu.tr .

Erhan A. İnceمشاهده پروفایل

استاد

• Mobile Communications
• Channel Coding
• OFDM/OFDMA Techniques
• +۴ مورد دیگر

Prof. Dr. Erhan A. İnce is a Professor at the Department of Electrical & Electronic Engineering, Eastern Mediterranean University (EMU). He holds a Ph.D. in Communications from Bradford University (1997) and has been at EMU since 1998, progressing through academic ranks from Assistant Professor (1998–2006) to Full Professor (2016–present). His research focuses on mobile communications, channel coding, OFDM techniques, and video/signal processing. He has supervised over 25 master's and doctoral students, including notable works on turbo codes, interference alignment, and image processing. Education: Bachelor's in Electrical Engineering, Bucknell University (1990) M.S. in Electrical Engineering, Bucknell University (1992) Ph.D. in Communications, Bradford University (1997) Research Interests: His work spans communications theory, signal processing, and multimedia applications. Key areas include turbo codes over fading channels, OFDM-based systems, facial recognition, and traffic surveillance using video analytics. Publications: Over 30 journal and conference papers in IEEE Transactions, Elsevier journals, and international conferences like CSDSP and EUSIPCO. Recent topics include blind interference alignment in cellular networks and tensor-based signal processing. Awards: Best Poster Award at CSDSP 1998. Service: Served as a reviewer for IEEE journals and conferences, and held administrative roles in EMU’s Faculty of Engineering, including Professor Representative (2018–present).

Mohammed El-Hajjarمشاهده پروفایل

استاد

• Millimeter wave wireless communications
• Energy efficient transceiver design
• MIMO systems
• +۷ مورد دیگر

Professor Mohammed El-Hajjar is a faculty member at the University of Southampton , affiliated with the Next Generation Wireless research group. His work spans advanced wireless technologies and their applications in emerging communication paradigms. Research areas include Millimeter wave (mMWave) wireless communications, Energy efficient transceiver design, MIMO systems, V2X networking, and Machine learning integration in wireless domains. Current projects involve PlaTform DrIving The UltImAte CoNnectivity (EPSRC-funded) and Affine Frequency Division Multiplexing for 6G (collaborative with Professor Hanzo). His publications focus on holographic MIMO, orbital angular momentum, and AI-driven wireless systems. He has supervised over 10 PhD students in electronic and electrical engineering. Scientific Awards Royal Academy of Engineering Industrial Fellowship Secured funding from UKRI and industry partners As a prolific researcher, he has contributed to over 100 peer-reviewed papers and holds multiple patents in wireless communication technologies.

• Next-generation wireless transmissions
• Quantum communications and detection
• Channel coding and modulation
• +۷ مورد دیگر

Professor Michael Ng is an academic at the University of Southampton's School of Electronics and Computer Science. He holds a professorship in Next Generation Communications and actively supervises PhD students in fields related to wireless technologies and quantum communications. Education: B.Eng. in Electronic Engineering (First Class), University of Southampton (1999) Ph.D. in Telecommunications, University of Southampton (2002) Research Interests: His work spans next-generation wireless transmissions, quantum communications, channel coding, MIMO systems, cooperative communications, and machine learning applications in communications. He leads cutting-edge research in quantum error correction and hybrid wireless-optical systems. Scientific Contributions: Principal Investigator for EPSRC-funded Cooperative Classical and Quantum Communications Systems Co-Investigator in multiple European projects (SCOUT, NEWCOM, PHOENIX, OPTIMIX, CONCERTO) Co-authored over 260 papers and two IEEE Press books Awards: Dean’s Award for outstanding contributions in scientific publications (2013) Leadership Roles: He has served as EEE Programme Leader (2018-2021) and currently directs the ECS Doctoral Programme. He also chairs the IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee.

• Fiber Optic Telecommunications Systems
• Optical Networks
• Multicore Fiber Technology
• +۷ مورد دیگر

Adolfo da Visitação Tregeira Cartaxo is a Full Professor at ISCTE – University Institute of Lisbon, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He serves as Director and Integrated Researcher at the Institute of Telecommunications – IUL (IT-IUL), where he leads research in the Optical Communications and Photonics Group (OCPG). His academic career began at Instituto Superior Técnico (IST), Technical University of Lisbon, where he earned his BSc, MSc, PhD, and Habilitation in Electrical and Computer Engineering. Bachelor's Degree in Electrical and Computer Engineering, IST, 1985 Master's Degree in Electrical and Computer Engineering, IST, 1989 PhD in Electrical and Computer Engineering, IST, 1992 Habilitation in Electrical and Computer Engineering, IST, 2005 His primary research interests lie in fiber optic telecommunications systems and optical networks, with a strong focus on multicore fiber technology, signal processing, and next-generation optical networks. He has contributed significantly to the development of digital mitigation techniques for inter-core crosstalk and machine learning applications in optical systems. The available articles highlight his expertise in photonic signal processing and radio-over-fiber systems, particularly in OFDM-UWB transmission over PONs and photonic analog-to-digital conversion. These works exemplify his work at the intersection of microwave and optical technologies for advanced communication systems. Scientific Awards: Best paper award at the 2013 OPTICS Conference, Reykjavik Best paper award at the 2011 OPTICS Conference, Seville UTL/Santander Totta Scientific Award (2008) for highest scientific impact in Electrical Engineering and related fields (2003–2007) He has supervised numerous PhD and Master’s theses and is currently guiding multiple doctoral candidates. He leads major research initiatives, including the EU-funded MATCH project (Multicore Fiber Applications and Technology), which trains 13 doctoral candidates across Europe. He has also led national and international projects such as DigCORE, RETIOT, AMEN, and EUIMWP. He serves on the editorial boards of journals including Photonics (Q2), Telecom , and International Journal of Optics (Q3), and is a Senior Member of IEEE. He is actively involved in academic leadership, having served as Deputy Director of the School of Technologies and Architecture (2018–2021) and in various roles within the Scientific Council and Scientific Committee at ISCTE-IUL. His research lab, the Optical Communications and Photonics Group (OCPG), is part of the Institute of Telecommunications, a leading research unit in Portugal.

• Wireless Communication
• Dynamic Spectrum Sharing
• Artificial Intelligence in Networking
• +۴ مورد دیگر

Irfan Jabandžić is a Postdoctoral researcher affiliated with Ghent University 's Faculty of Engineering and Architecture under the Department of Information Technology (EA05) , with collaboration from IMEC. His research spans wireless communication systems, focusing on dynamic spectrum sharing, AI-driven network collaboration, and infrastructure optimization for next-generation wireless technologies. His work emphasizes dynamic spectrum sharing and collaborative intelligent radio networks (CIRNs) , leveraging artificial intelligence to predict and avoid spectrum collisions in hybrid environments. He has developed systems like the SCATTER approach for distributed spectrum allocation and the CODYSUN paradigm for satellite communications. His open-source wireless spectrum hypervisor enables multiplexing of OFDM signals across technologies like LTE, 5G-NR, and NB-IoT. Publications highlight his contributions to 5G network densification , cognitive radio , and multi-carrier signal processing . He has participated in the DARPA Spectrum Collaboration Challenge , designing protocols validated through Colosseum RF emulation and field trials. His research also addresses MAC protocol portability across IoT platforms.

Manish Kumarمشاهده پروفایل

دانشیار مدعو

• Health Systems Strengthening
• Digital Health
• Health Information Systems
• +۴ مورد دیگر

Manish Kumar, MPH, PhD, is an Adjunct Associate Professor in the Department of Public Health Leadership and Practice and the Department of Health Behavior at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health. He currently leads the Global Health Finance Data team at Guidehouse, Inc., focusing on strategic data-driven solutions for health systems strengthening and digital health. His prior roles include Technical Lead at the Carolina Population Center and Principal Investigator for USAID-funded projects. Education: PhD (ABD) in Health Informatics from the Carolina Health Informatics Program, University of North Carolina at Chapel Hill; MPH in Public Health Leadership (specializing in public health informatics); MSc degrees from Wageningen University (Netherlands) and Pant University (India). Research interests include health information systems, digital health maturity models, and implementation science. He has contributed to global initiatives such as the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) and malaria surveillance systems. Awards include the Rotary Peace Fellowship (2013-2015), Delta Omega Service Award (2015), and induction into the Frank Porter Graham Graduate Honor Society. His work emphasizes health equity, data utilization, and evidence-based decision-making in low-resource settings.

Mohammad Saquibمشاهده پروفایل

استاد

• Wireless Data Transmission
• Signal Processing
• Radio Resource Management
• +۷ مورد دیگر

Mohammad Saquib is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He has been a faculty member at UT Dallas since 2000, progressing from Assistant to Associate and currently Professor. Prior to this, he held assistant professor positions at Louisiana State University. Education: Ph.D. in Electrical Engineering, Rutgers University, 1998 M.S. in Electrical Engineering, Rutgers University, 1995 B.S. in Electrical Engineering, Bangladesh University of Engineering & Technology, 1991 Mohammad Saquib's research focuses on wireless data transmission, emphasizing system modeling, performance evaluation, signal processing, and radio resource management. A significant portion of his work explores open-access spectrum sharing techniques and the development of low-cost signal processing solutions for radar and medical applications, particularly in microsurgery. His expertise bridges theoretical and applied domains in communications and signal processing. The 15 most recent articles (limited to 8 available) reflect a consistent focus on wireless systems, signal processing algorithms, and their applications in aerospace, medical, and mobile networks. Key themes include interference mitigation, handover optimization, adaptive modulation, and real-time physiological signal prediction. The publications appear in top-tier IEEE journals, demonstrating sustained scholarly impact. Scientific Awards and Recognitions: University of Texas System Regents’ Outstanding Teaching Award, 2014 Best paper award, International Test Synthesis Workshop (ITSW), 2007 Best student paper award, IEEE International Waveform Diversity and Design Conference, 2009 Best doctoral dissertation award (advised student), 2005 Donald Ceil & Elaune T. Delaune Endowed Professorship, 2000–2004 IEEE Senior Member (2009–present) Multiple best paper finalists and teaching recognitions Mohammad Saquib has successfully advised numerous graduate students, many of whom have received national awards for their research and theses. He has served as associate editor for IEEE Transactions on Wireless Communications and IEEE Communications Letters , contributing significantly to academic service. His work has been supported by institutional and professional recognition, though specific grant details are not listed in the text. He is deeply committed to teaching excellence, as reflected in multiple awards and student testimonials. He leads research in wireless and signal processing systems, likely supervising a lab or research group focused on communications and biomedical signal processing, though no formal lab name is provided.

• Computer Networks
• Network Security
• Internet of Things
• +۲ مورد دیگر

Xiaoxue Zhang is an Assistant Professor in the Department of Computer Science & Engineering at the University of Nevada, Reno, commencing her tenure-track position in July 2024 after completing her Ph.D. at the University of California Santa Cruz. She holds a Bachelor of Engineering from the University of Science and Technology of China (2019). Her educational background includes: Ph.D. in Computer Engineering, University of California Santa Cruz (2024) Bachelor of Engineering in Computer Science and Technology, University of Science and Technology of China (2019) Dr. Zhang's research focuses on securing and optimizing next-generation distributed systems, with core expertise in blockchain architectures, quantum network routing, and IoT security protocols. Her work bridges theoretical models with practical implementations, particularly in payment channel networks and entanglement routing frameworks. Analysis of her 14 publications (2018-2024) reveals an evolving research trajectory: early work on backscatter communication (2018-2019) transitioned to blockchain payment networks (2020-2023), culminating in recent breakthroughs in quantum networking and federated learning (2024). This progression demonstrates consistent innovation across computer networks, security, and emerging quantum technologies. Dr. Zhang is actively recruiting Ph.D. students for her research group, requiring applicants to submit CVs, academic transcripts, and relevant publications. Prospective students must demonstrate strong motivation in networks and security research, with emphasis on practical implementation skills.

• Cybersecurity
• Drone/UAV Security
• Wireless Network Security
• +۶ مورد دیگر

Ahmad Y. Javaid is an Assistant Professor in the Electrical Engineering and Computer Science Department within the College of Engineering at The University of Toledo. He serves as the founding director of the Paul A. Hotmer Cybersecurity and Teaming Research (CSTAR) lab and holds the position of Cyber Education and Cyber Threat Mitigation Faculty Fellow. Dr. Javaid received his B.Tech. (Hons.) Degree in Computer Engineering from Aligarh Muslim University, India in 2008 and his Ph.D. from The University of Toledo in 2015, where he was awarded the prestigious University Fellowship Award. Prior to joining the University of Toledo faculty, he worked for two years as a Scientist Fellow in the Ministry of Science & Technology, Government of India. Dr. Javaid's research spans multiple domains within cybersecurity and human-machine interaction. His primary expertise lies in cyber security of drone networks, smartphones, and wireless sensor networks. He has conducted extensive research on human-machine teams and applications of AI and machine learning to attack detection and mitigation. His work bridges theoretical security frameworks with practical implementations across various domains including UAV security, physical layer communications security, and multimodal human-computer interaction systems. His recent publications demonstrate a continued expansion into nuclear-renewable energy systems security and advanced cybersecurity education frameworks for K-12 students. Dr. Javaid has secured significant research funding, with collaborative proposals totaling $9.7M (including all partners along with UToledo), of which $1.4M has been allocated specifically to him. Approximately $4.1M has been allocated to the University of Toledo from these projects. His research has been funded by prestigious agencies including the NSF, AFRL, NASA-JPL, Department of Energy, and the State of Ohio. He has also played a critical role in cultivating private gifts to support the CSTAR lab. IEEE Graduate Student Member (2012) IEEE Member (2015) IEEE Senior Member (2019) University Fellowship Award As an educator, Dr. Javaid has developed innovative cybersecurity curriculum modules and educational tools. He has served as a reviewer for high-impact journals and as a member of technical program committees for reputed conferences. His work extends to cybersecurity education initiatives targeting K-12 students, with projects focused on developing interactive learning modules to improve cybersecurity awareness at the high school level. He has published more than 85 peer-reviewed publications across journals, conferences, and posters, demonstrating consistent scholarly productivity with significant output in recent years. Dr. Javaid leads the Paul A. Hotmer Cybersecurity and Teaming Research (CSTAR) lab, which focuses on cutting-edge research in cybersecurity, particularly in the areas of UAV security, physical layer security, and human-machine teaming. The lab has received support from both government agencies and private sources, enabling the development of novel security frameworks and educational tools. His interdisciplinary approach bridges computer science, electrical engineering, cybersecurity, and human factors research, making significant impacts in both academic and practical cybersecurity domains.

Mustafa ÖZMENمشاهده پروفایل

پژوهشگر

• Wireless Communications
• Information Theory
• Markov Processes
• +۷ مورد دیگر

Mustafa ÖZMEN is a Deputy Department Chair and Researcher at the Department of Electrical Engineering, Antalya Bilim University. He has held research affiliations at Brown University (Providence, RI) and earned his Doctorate in Electrical Engineering & Computer Science from Syracuse University. Doctorate: Syracuse University, Electrical Engineering & Computer Science Bachelor's: Bilkent University, Electrical Engineering His research focuses on advanced communication systems and theoretical frameworks, including: Wireless Communications Information Theory and Markov Processes Energy-efficient MIMO and OFDM systems Communication under queueing constraints and uncertainty Information-theoretic security Current affiliations include Antalya Bilim University and Brown University. His work bridges theoretical rigor with practical applications in next-generation communication technologies.

• Telecommunications
• Signal Processing
• Wireless Communications

Björn Gävert is a researcher affiliated with Chalmers University of Technology , focusing on Telecommunications and Signal Processing . His work addresses challenges in wireless communication systems, particularly phase noise estimation in OFDM technologies. Contact him at gavert@chalmers.se or visit his research profile at Chalmers Research .