جستجوی استاد راهنمای دانشگاهی

• Wireless Communication
• Mobile Networks
• Wireless IoT Applications
• +۶ مورد دیگر

Prof. Dr. Luciano Sarperi is a Lecturer at the ZHAW School of Engineering ’s Institute of Signal Processing and Wireless Communications , focusing on applied R&D with industry partners. His work spans Wireless Communication Systems , Mobile Networks (NR, LTE, NB-IoT), and Software Defined Radio . Expertise in GNSS Localization , Wireless Time-Synchronization , and Interference Cancellation for MIMO systems. Active in UAV navigation, RFI detection, and LoRa/Wi-Fi applications. Research Trends (2025–2004): Peer-reviewed work on MIMO Pre-coding , GNSS for Drones , Blind Signal Processing , and Wireless Standards . Patents in Multi-Cell MIMO and Channel Feedback . Education : PhD in Digital Signal Processing for MIMO-OFDM from the University of Liverpool (2007), M.Sc. in Microelectronic Systems and Telecommunications (2002). Experience : 2010–2017 at Swisscom (Research Engineer), 2007–2010 at Fujitsu Laboratories (U.K.).

K. Vasudevanمشاهده پروفایل

استاد

• Communications
• Signal Processing
• Digital communications
• +۴ مورد دیگر

Professor K. Vasudevan is a faculty member in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Communications & Discrete-time Signal Processing. He has been at IIT Kanpur since July 2001, initially as an Assistant Professor until December 2007, then promoted to Associate Professor in January 2008, and currently holds the position of Professor. His educational background includes: PhD from IIT Madras (2000) with thesis on "Efficient Noncoherent Detectors for Multilevel Signals in Fading Channels" M.S. from IIT Madras (1996) B.Tech. from IIT Kharagpur (1991) Professor Vasudevan's research focuses on digital communications, with particular expertise in coherent and noncoherent receivers, synchronization techniques, channel estimation, and diversity techniques. His work bridges theoretical signal processing concepts with practical communication system implementations, contributing significantly to the field of wireless communications. His publication record shows a consistent focus on advanced communication techniques, particularly around QPSK modulation, turbo coding, and signal detection in challenging environments. His research evolved from fundamental signal detection methods to more complex systems involving multiuser communications and space-time coding. Professor Vasudevan has received several professional recognitions: Fellow of IETE Senior Member of IEEE Listed in Marquis Who's Who in Science and Engineering (2008) Multiple commendations for teaching Communication Theory (EE622) in 2007, 2008, and 2009 Invited speaker at the International Federation of Nonlinear Analysts World Congress in Athens, Greece (2012) His professional journey includes industry experience at Indian Telephone Industries and Texas Instruments, followed by a postdoctoral fellowship at EPFL Switzerland, before joining academia at IIT Kanpur where he has made significant contributions to both research and teaching in communications engineering.

• Machine Learning
• Artificial Intelligence
• Federated Learning
• +۳ مورد دیگر

Dr. Jing Jiang is an Associate Professor in the School of Computer Science and a core member of the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS). As an ARC DECRA Fellow, she has secured over AU$2 million in research funding through multiple ARC grants, CSIRO/Data61 projects, and industry collaborations. Her work bridges theoretical advances in machine learning with practical applications across various domains. Dr. Jiang's research focuses on machine learning, particularly federated learning, reinforcement learning, and foundation models. She explores how to make these technologies work effectively in heterogeneous environments, addressing challenges like data privacy, non-IID data distributions, and efficient communication. Her work spans both theoretical foundations and practical implementations for real-world applications. Her publications demonstrate a strong trend toward personalized federated learning approaches, with significant contributions to recommender systems, time series analysis, and weather forecasting. She has developed novel techniques like variational autoencoder approaches for federated collaborative filtering and adaptive prompt learning for foundation models on devices. Dr. Jiang has received several notable recognitions: ARC DECRA Fellow Awardee of the Australian International Postgraduate Research Scholarship (IPRS) Dr. Jiang has successfully led multiple major research projects, including two ARC Discovery Projects, one ARC Linkage Project, and a CSIRO/Data61 CRP project where she served as lead Chief Investigator. She has supervised numerous PhD and Master's students and actively collaborates with industry partners on applied research. As a core member of the Australian Artificial Intelligence Institute (AAII) at UTS, Dr. Jiang contributes to a vibrant research ecosystem focused on cutting-edge AI research. She collaborates closely with Professor Guodong Long and other researchers on various machine learning projects, and serves in leadership roles including program co-chair for major conferences like ADMA2023.

John R. Barryمشاهده پروفایل

استاد

• Communication Theory
• Wireless Communications
• Optical Communications
• +۴ مورد دیگر

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 .

• Agricultural Economics
• Rural Development
• Entrepreneurship in Agriculture
• +۷ مورد دیگر

Ljiljana Drinić is a full Professor at the Faculty of Agriculture, University of Banja Luka, where she serves in the Department of Agricultural Economics and Rural Development. Appointed to her current rank in April 2022, she teaches across all academic cycles with a focus on entrepreneurship in rural areas and agribusiness. Her institutional affiliations include multiple research projects with the Ministry of Agriculture, Forestry and Water Management of Republic of Srpska, particularly IFAD-funded initiatives on rural competitiveness and business development. Professor Drinić's research centers on agricultural economics and rural development in Bosnia and Herzegovina, with particular emphasis on rural entrepreneurship (including gender-specific studies), agricultural price forecasting, financial analysis of agricultural enterprises, and demographic changes in rural regions. Her work bridges theoretical economic analysis with practical policy applications, directly informing regional development strategies. Analysis of her publication record (2006-2022) reveals consistent focus on regional agricultural economics, with increasing attention to gender dimensions in rural development and entrepreneurship models. Her research demonstrates strong regional comparative approaches, frequently analyzing data across Serbia, Macedonia, and Republic of Srpska to identify best practices and development opportunities. Professor Drinić has been instrumental in developing strategic agricultural plans for Republic of Srpska, including the 2021-2027 Strategic Plan for Agriculture and Rural Development. Her research projects consistently address practical challenges facing rural communities, with emphasis on creating sustainable economic opportunities through entrepreneurship development and improved market access. As a supervisor and educator, Professor Drinić guides students through complex topics in agricultural economics while connecting classroom learning to real-world applications in rural development. Her teaching portfolio spans undergraduate to doctoral levels, reflecting her comprehensive expertise in agricultural business and rural economic development.