Find Academic Supervisors

Kelly CaylorView profile

Professor

• Hydrology
• Terrestrial Ecology
• Coupled Natural-Human Systems
• +3 more

Kelly Caylor is a Professor and Associate Vice Chancellor for Research at the University of California, Santa Barbara, holding joint appointments at the Bren School of Environmental Science & Management and the Department of Geography. His research focuses on understanding the interaction of land use and climate change in global drylands, particularly in sub-Saharan Africa and the U.S. Southwest. He explores ecosystem resilience, water-use efficiency, and coupled natural-human systems through field experiments, modeling, and novel observation networks. Caylor leads the WAVES Lab, which develops technologies like the Arable Mark sensor and the PulsePod for real-time agricultural monitoring. Education: PhD and BA in Environmental Sciences from the University of Virginia. Awards: NSF Early Career Award, AGU Early Career Hydrological Sciences Award. Students: Supervises PhD candidates like Anna Boser (ecosystem services, remote sensing) and Zoe Sims (agriculture, environmental policy). Publications span ecohydrology, environmental sensing, and socio-environmental systems, with over 100 peer-reviewed articles. Key projects include NSF-funded studies on riparian ecosystems, climate impacts on subsistence agriculture, and urban food security. The lab’s innovations include remote sensing algorithms, UAV-based monitoring, and machine learning for crop analysis. Collaborations include international institutions like Mpala Research Centre and the International Food Policy Research Institute.

Cristiano TapparelloView profile

Research Professor

• Mobile Health
• Wireless Communication
• Networking Protocols
• +4 more

Cristiano Tapparello is a Research Professor in the Department of Electrical and Computer Engineering at the University of Rochester's Hajim School of Engineering & Applied Sciences. His work bridges healthcare technology and wireless communication systems, focusing on mobile health interventions and optimizing wireless networks. He holds a Research Professor position, emphasizing applied research in both medical technology and network engineering. Dr. Tapparello's research is centered on two main areas: mobile health (mHealth) interventions and advanced wireless communication networks. In mHealth, he develops and evaluates tools for caregivers of children with Fetal Alcohol Spectrum Disorders (FASD), emphasizing feasibility and user experience. His work also addresses pre-operative anxiety through virtual reality (VR) interventions. On the networking side, he explores energy-efficient protocols, multi-hop architectures (e.g., WiFi Direct and UAV-based systems), and the application of machine learning to optimize OFDMA systems and resource allocation. His contributions span underwater sensor networks, energy harvesting techniques, and network topology optimization. Scientific Awards: No scientific awards mentioned. Advising and Grants: No specific advising or grants listed in the provided information. Labs and Teams: While specific lab affiliations are not detailed, his research aligns with the Department of Electrical and Computer Engineering's focus areas in wireless communication and health technology.

Patrick PomeroyView profile

Researcher

• Marine Biology
• Ecology
• Zoology
• +3 more

Dr Patrick Pomeroy is a Senior Research Scientist at the University of St Andrews' School of Biology, affiliated with the Sea Mammal Research Unit and Scottish Oceans Institute. His research focuses on marine mammals, particularly grey seals (Halichoerus grypus), exploring topics such as reproductive behavior, physiological adaptations, and ecological interactions. Key areas include oxidative stress, lactation dynamics, and immune system development in neonates. His work integrates field studies, laboratory analysis, and advanced technologies like aerial photogrammetry and biotelemetry. Notable collaborations include projects on seal photo-identification databases and modeling interactions between marine predators and fishing vessels. Funded by NERC and others, his research contributes to conservation and management strategies for marine ecosystems. Recent studies highlight maternal resource allocation, stress-coping styles in seals, and the impact of pollutants on health. His findings are disseminated through peer-reviewed journals and datasets, with applications in wildlife management and policy. Dr Pomeroy also engages in public outreach via media appearances and educational initiatives.

Jimmy Jessen NielsenView profile

Associate Professor

• Wireless Communications
• Ultra-Reliable Low Latency Communication
• Internet of Things
• +9 more

Jimmy Jessen Nielsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, under The Technical Faculty of IT and Design, Denmark. His research focuses on wireless communications, particularly in ultra-reliable low-latency communication (URLLC), 5G/6G networks, Internet of Things (IoT), satellite communications, and energy-autonomous networks. He is actively involved in several EU- and ESA-funded research initiatives such as PAINLESS, WILLOW, ONE5G, and SATNEX V, where he serves as principal investigator or key participant. His research interests lie at the intersection of wireless access technologies, network optimization, and cyber-physical systems. He explores topics including network slicing, UAV-based access points, software-defined radio, and indoor localization using building plans. His work contributes to UN Sustainable Development Goals in Communication and Informatics, Mathematics and Statistics, and Energy Engineering. His recent publications show a strong trend toward real-time adaptive networking, human-in-the-loop control over wireless links, and infrastructure-less communication systems. These works often involve collaborations with leading researchers such as Petar Popovski and Bosch Soret, and are published in high-impact IEEE venues including IEEE Transactions on Haptics and IEEE Open Journal of the Communications Society. Scientific Awards: Best Paper Award (2021) – for research on Micro Aerial Vehicle Networks and Access Points Nielsen has supervised and examined multiple PhD students and has been an active academic reviewer and committee member. He led the Department of Electronic Systems as chair starting in 2022 and has participated in numerous PhD defenses as both internal and external examiner. He also contributes to public discourse through media appearances on topics like Wi-Fi optimization and future mobile networks for robotics. He is affiliated with the Connectivity section at Aalborg University and maintains an active research profile with ongoing projects extending into 2025. His work emphasizes practical, deployable solutions for next-generation communication systems.

• Medical Image Analysis
• Deep Learning
• IoT Security
• +3 more

Kamel K. Mohammed is a researcher affiliated with Al-Azhar University in Egypt, the Scientific Research Group in Egypt (SRGE), and Biomid Company. His work bridges biomedical engineering and artificial intelligence, with publications spanning medical image analysis, IoT security, and drone identification systems since 2021. His research focuses on applying deep learning to healthcare diagnostics, particularly in cancer detection (oral squamous cell carcinoma and lung cancer) and ear disease classification. He develops innovative solutions using transfer learning, CNN-LSTM architectures, and 3D segmentation techniques while addressing cybersecurity challenges in IoT networks through image-based malware detection and RF fingerprinting for drone identification. Publications from 2021-2023 demonstrate consistent output with an average impact factor of 5.2. His single-authored works (100% single authorship) have received institutional sponsorship from the Japan Society for the Promotion of Science, Princess Nourah Bint Abdulrahman University, and Universidad Carlos III de Madrid, each funding one 2023 publication. He operates within the Scientific Research Group in Egypt (SRGE) ecosystem, which appears to be a collaborative hub for biomedical and engineering research, and maintains industry ties through Biomid Company for applied technology development.

Kuilin ZhangView profile

Associate Professor

• Transportation Systems
• Intelligent Transportation Systems (ITS)
• Freight Logistics
• +5 more

Dr. Kuilin Zhang is an Associate Professor in the Department of Civil, Environmental, and Geospatial Engineering at the College of Engineering and an Affiliated Associate Professor in the Department of Computer Science at the College of Computing, Michigan Technological University. He is affiliated with the Michigan Tech Transportation Institute (MTTI), Institute of Computing and Cybersystems (ICC), and Center for Agile Interconnected Microgrids (AIM). His research focuses on transportation systems optimization, connected and automated vehicles (CAVs), freight logistics, and cyber-physical systems integration. Dr. Zhang holds a Ph.D. in Transportation Systems Analysis and Planning from Northwestern University (2009), with postdoctoral fellowships at Northwestern and Argonne National Laboratory (2010–2013). Education: PhD in Transportation Systems Analysis and Planning (Northwestern University, 2009) Professional Roles: Member of TRB committees (AEP40, AT015, AR030), SAE Cooperative Driving Automation Committee, IEEE, INFORMS, and ITE. Research Interests: Dr. Zhang’s work spans data-driven optimization , cooperative adaptive cruise control , intermodal freight modeling , and mobile sensing . He develops models for CAVs, smart city infrastructure, and resilient logistics systems. Recent projects include DOE-funded research on intermodal freight resilience and NSF CAREER Award-supported CAV control algorithms. Publications: Over 30 peer-reviewed articles in journals like Transportation Research Part B and IEEE Transactions on Smart Grid , focusing on traffic flow theory, CAV systems, and freight optimization. Awards: NSF CAREER Award (2019), TRB Gartner Prize (2022). Grants: Total funding exceeds $5M from NSF, DOE, USDOT, and MDOT for projects like drone-based infrastructure monitoring and CAV energy efficiency. Advising: Supervised 6 Ph.D. students, with notable alumni including Dr. Ali Jalooli (now faculty at California State University). Labs: Leads the Sustainable and Intelligent Transportation Systems (SITS-Lab) and Connected and Automated Vehicle Systems Testing (CAVS-Lab), developing tools like CARDS for CAV simulation and UAV traffic monitoring systems.

Behzad AbbasnejadView profile

Lecturer

• Building Information Modelling (BIM)
• Digital Construction Management
• Organisational Learning
• +3 more

Dr. Behzad Abbasnejad is a Lecturer in the School of PCPM at RMIT University, specializing in Building Information Modelling (BIM), digital construction management, and sustainable built-environment solutions. He holds a PhD from Queensland University of Technology (2018) and teaches courses such as Introduction to Buildings and Integrated Building Information Modelling . His research focuses on BIM implementation, digital construction methods, and workflow optimization. He has published over 30 academic papers and secured funding for projects like digital manufacturing automation and virtual site visits for photovoltaic panels. His work bridges research and industry, emphasizing data-driven decision-making and sustainability. Research interests include BIM integration, DfMA, construction quality costs, and organizational learning. He has advised on projects involving lean construction-BIM synergy, mass timber supply chains, and AR-based safety inspections. Funding areas include prefabricated logistics modeling and sustainable construction technologies. Dr. Abbasnejad has taught in Melbourne and Hong Kong, contributing to curriculum development for hybrid and online learning models. No specific labs or teams are explicitly mentioned, though his collaborative projects imply engagement with industry partners and research networks.

• Signal Processing
• Acoustic Sensor Networks
• Machine Learning
• +3 more

Roberto Gil Pita is a Professor at the University of Alcalá (Spain), affiliated with the Department of Signal Theory and Communications. He leads the AES3 research group focusing on acoustic and electromagnetic smart sensor networks and signal processing applications. His doctoral work (2006) centered on radar target classification using statistical and AI methods under the supervision of Dr. Manuel Rosa Zurera. His research spans signal processing, machine learning, and their applications in aerospace, biomedical systems, and smart cities. Key areas include UAV detection, emotion recognition from speech, and acoustic localization using microphone arrays. His academic background includes a doctorate from the University of Alcalá and extensive contributions to wireless acoustic sensor networks, hearing aid signal processing, and bioimpedance spectroscopy. He has developed energy-efficient algorithms for real-time audio analysis, acoustic violence detection systems, and robust methods for speech enhancement in noisy environments. His work bridges theoretical signal processing with practical engineering solutions for defense, healthcare, and urban monitoring. Research interests extend to aeroelastic flutter analysis in aviation, wearable biomedical sensors for stress assessment, and data-driven approaches for sound environment classification. He has pioneered the use of deep learning in flutter testing and acoustic event classification, contributing to datasets like REALISED for benchmarking machine learning models. Notable projects include acoustic localization of drones using microphone arrays, real-time emotion detection systems, and collaborative research in smart healthcare technologies. His work emphasizes computational efficiency and energy conservation, particularly for embedded systems and battery-operated devices.

Bhuvanesh UnhelkarView profile

Professor

• Big Data Strategies
• Artificial Intelligence
• Agile Processes
• +5 more

Bhuvanesh Unhelkar is a Professor of Information Technology at the School of Information Systems and Management, part of the Muma College of Business at the University of South Florida's Sarasota-Manatee campus. He specializes in Big Data strategies, AI applications, and Agile methodologies. Currently teaching IT and Project Management courses at both undergraduate and graduate levels, he also oversees IT program design and online education initiatives. Education: Ph.D. and M.S. in Information Technology (University of Technology Sydney, 1997/1992) Masters Diploma in Business Administration (IMDR, Pune, 1986) Bachelor of Engineering (Electronic Engineering, Maharaja Sayajirao University of Baroda, 1982) Research Interests: Dr. Unhelkar’s work focuses on leveraging technology for business agility, including: Big Data analytics and AI-driven decision-making Cybersecurity in healthcare and IoT Agile project management frameworks Blockchain applications in finance and supply chains Cloud computing optimization IT education and curriculum development Awards & Recognition: Computerworld Object Developers Award (1995) Consensus IT Professional ‘Service to Industry’ Award (2006) Consensus IT Writer’s Award (2010) Service & Leadership: Active in academic governance through roles like: Member, Academic Programs Committee (APC) [2018–2019] Member, Faculty Professional Development Committee (FPDC) [2000–present] Search Committee Lead for Assistant Professor positions Publications: Authored/co-authored over 27 books and 109 research outputs, including seminal works like Artificial Intelligence for Business Optimization and Adoption and Adaption in Digital Business .

Ivica PapaView profile

Associate Professor

• Forest Road Planning and Design
• Forest Infrastructure Maintenance
• Sustainable Forestry Operations
• +3 more

Ivica Papa is an Associate Professor at the University of Zagreb's Faculty of Forestry and Wood Technology, specializing in Forest Road Planning, Maintenance Optimization, and Sustainable Forestry Infrastructure. He holds a PhD and has been affiliated with the university since 2008, progressing from Assistant to Senior Assistant before becoming Associate Professor in 2019. His research focuses on improving forest accessibility through advanced technologies like UAV surveys, GIS tools, and precision measurement techniques. Key interests include soil disturbance mitigation, machinery-induced environmental impacts, and multi-purpose infrastructure design for mountainous regions. He has contributed to over 50 publications since 2007, addressing challenges in forest road construction, bark beetle management, and post-disaster timber recovery. Professor Papa teaches courses in Forest Roads in Protected Areas and advises on forestry operations in steep terrains. His recent work emphasizes integrating modern data collection methods with traditional forestry practices to enhance sustainability and efficiency. He maintains active participation in international forestry networks like FORMEC and collaborates on strategic planning projects for Croatia's forest road networks. Professional experience includes roles in optimizing primary forest road networks, assessing soil conditions for harvesting operations, and evaluating the environmental impact of mechanized logging systems. His research bridges technical innovation with ecological preservation, particularly in sensitive landscapes.

Yan ZhangView profile

Professor

• Radar Technology
• RF-Microwave Systems
• Intelligent Sensing Systems
• +4 more

Dr. Yan Zhang is a Presidential Professor in the School of Electrical and Computer Engineering at the University of Oklahoma, affiliated with the Advanced Radar Research Center (ARRC) and leading the Intelligent Aerospace Radar and Radio Team (IART). He holds a PhD from the University of Nebraska-Lincoln (2004) and prior roles include research scientist at Intelligent Automation Inc. (2004–2006). His research focuses on intelligent radar systems, phased array antennas, and weather surveillance radar technologies, with emphasis on machine learning integration for improved data analysis and disaster prediction. Education: B.S. and M.S. in Electrical Engineering from Beijing Institute of Technology (1998, 2001); PhD in Engineering from University of Nebraska-Lincoln (2004). Research Interests: Multi-mission airborne/spaceborne radars for weather and air-traffic monitoring, Sense-and-Avoid systems for UAVs, counter-drone technologies, and ultra-wideband radar solutions. His work bridges radar engineering with meteorology, addressing challenges in phased array antenna design, polarimetric data quality, and real-time FPGA/DSP implementations. His recent articles emphasize advancements in polarimetric radar data assimilation, machine learning-driven meteorological modeling, and cylindrical phased array configurations. Collaborations include NASA and NOAA for weather radar modernization. He leads the Radar Innovations Lab at OU, advancing radar hardware and algorithmic innovations.

• Air Transport
• Aviation Management
• Airline Business Models
• +12 more

Professor Zheng Lei is a Professor of Aviation at Swinburne University of Technology, School of Engineering, where he serves as Chair of the Department of Aviation within the Faculty of Science, Engineering and Technology. He holds a PhD in Air Transport and Tourism Management from the University of Surrey and has previously held academic roles at the University of Surrey and Cranfield University. He also serves as a Visiting Professor at the Civil Aviation University of China and is the founder and President of the Institute for Aviation Research, a think tank focusing on aviation in China. His research expertise lies in airline business models, air transport market analysis, regulation and policy, and aviation’s role in regional competitiveness. His work emphasizes real-world impact, advising airlines, airports, regulators, and aviation authorities globally. His fields of research include transportation, logistics, supply chains, and urban and regional planning. The 15 most recent publications reflect a consistent focus on aviation economics, policy, and digital transformation. Key themes include aviation resilience during the pandemic, market liberalization, airline competition, digital technologies like AI and blockchain, service quality assessment via NLP, and sustainable connectivity. His work employs advanced econometric, modeling, and data analytics methods to inform policy and industry practice. Professor Lei has secured significant external research funding from government and industry, including grants from the Department of Foreign Affairs and Trade, Department of Infrastructure, and Civil Aviation Safety Authority, focusing on hydrogen in aviation, alternative fuels, and advanced air mobility. He actively supervises PhD and Master’s students on topics such as hydrogen adoption, autopilot liability, advanced air mobility, airport security, and pilot success prediction, demonstrating a strong commitment to training the next generation of aviation professionals. He has led or contributed to numerous research projects and contracts, including 'Hydrogen to the Skies' and 'Regional AAM Surrogate Trial,' working with partners such as Textron Systems and government agencies. His leadership in both academic and applied research underscores his role as a key figure in contemporary aviation studies.

Pierre-Yves GilliéronView profile

Lecturer

• Geomatics
• Intelligent Transportation Systems
• GNSS - Satellite Navigation
• +11 more

Pierre-Yves Gilliéron is a Senior Scientific Collaborator and Section Assistant at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) and the Environmental Engineering Sciences (SIE) section. He serves as Deputy Director of the SIE section since 2018 and is a Lecturer in satellite positioning and geomatics. His work spans teaching, research, and academic administration, including managing bachelor’s and master’s study plans, mobility programs, and internships. His research interests are centered on Geomatics, Intelligent Transportation Systems (ITS), GNSS (satellite navigation), Geographic Information Systems, and road and transport standardization . He has extensive expertise in mobile mapping, precise road geometry, pedestrian navigation, and the integration of GNSS in transport systems. His work also explores big data, crowdsourcing, and the quality of traffic information in modern mobility contexts. His recent publications reflect a strong focus on positioning performance, integrity, and reliability in ITS, particularly for autonomous and safer driving. He has led and contributed to major European research initiatives like the COST TU1302 SaPPART Action, emphasizing the role of high-quality positioning in future transport systems. His work bridges technical research with practical applications in road safety, urban mobility, and infrastructure management. Scientific Affiliations and Service: Deputy Director, SIE Section, EPFL Member, Swiss Institute of Navigation (ION-CH) Member, Swiss Geodetic Commission (SCNAT/SGK) Member, VSS Expert Commissions Member, its-ch Committee Professional affiliations: IGSO, geosuisse, SSPIT Former member, ENAC Faculty Council (2004–2010) Member, SIE Teaching Committee He has supervised students such as D. Moreau and has been instrumental in developing educational resources, including a MOOC on geomatics available on Coursera. His research is supported by collaborations with institutions like IFSTTAR and industry partners, focusing on real-time data capture, navigation system enhancement, and the management of scientific projects and networks. Laboratories and Research Groups: Formerly affiliated with the Topometry Laboratory (TOPO) at EPFL Involved in the NEARCTIS project (Network of Excellence for Cooperative Traffic Management)

• Geo-information Science
• Remote Sensing
• Digital Twin
• +7 more

Jascha Grübel is an Assistant Professor at the Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research. His work focuses on immersive digital twins, spatial cognition, and open-source software development for virtual environment analysis. Active in digital twin frameworks Researches spatial perception and VR/HCI Emphasizes reproducibility and open science Recent projects include AnywhereXR for real-time 3D environments and IUMENTA* for animal digital twins on open platforms. He collaborates on UAV tunnel inspection using UWB positioning technology. Specializes in affective workplace design Developed SPACE for cognitive evaluation via VR Advocates for experiment-as-code methodologies His publications highlight cross-disciplinary approaches combining geo-spatial analysis, digital twin systems, and human factors research. Current work involves creating open-source tools for immersive environments and behavioral studies in virtual infrastructure.

• Remote Sensing
• Unmanned Aerial Vehicles
• Agricultural Technology
• +3 more

Jappe Franke is a Researcher in the Earth Observation and Environmental Informatics group at Wageningen University & Research. His work integrates remote sensing technologies and artificial intelligence to address challenges in agricultural and environmental monitoring. Primary collaborations include projects with colleagues like Sander Mücher and Claudia Kamphuis, focusing on UAV-based livestock assessment. Research Focus: Franke's core expertise lies in: Developing UAV-mounted sensor systems for cattle phenotyping and grassland analysis Implementing deep learning models (e.g., YOLOv3) for automated animal detection in aerial imagery Creating open-access datasets for agricultural AI applications Recent Publication Trends: His 2022-2023 articles demonstrate a consistent focus on optimizing drone-based 3D modeling and computer vision techniques to improve livestock management efficiency, with applications in body dimension estimation and behavioral monitoring. Collaborations: Actively participates in cross-disciplinary initiatives such as the NIVA Geotagged Photos project and presents research at conferences including oral presentations on habitat classification using AI.