Find Academic Supervisors

Scott K. RobinsonView profile

Professor

• Avian Ecology
• Conservation Biology
• Behavioral Ecology
• +3 more

Dr. Scott K. Robinson is the Katharine Ordway Professor of Ecosystem Conservation at the University of Florida’s Florida Museum of Natural History and affiliated with the UF School of Resources and the Natural Environment and UF Biology. He holds a Ph.D. from Princeton University. His research focuses on avian ecology, behavior, and conservation, with particular emphasis on tropical ecosystems, urbanization impacts, and brood parasitism. Current projects include studies on forest and grassland conservation in North America, tropical Andean bird communities, and avian decision-making in human-modified habitats. Key research interests include understanding how birds adapt to fragmented habitats, the role of flocking behavior in ecological communities, and the conservation implications of human-induced environmental changes. Dr. Robinson has secured significant funding, including an $800,000 NSF grant for avian range research. His work bridges theoretical ecology with applied conservation, emphasizing the interplay between species interactions and environmental drivers. Recent publications highlight topics such as the effects of plantation forestry on bird communities, genomic insights into wren hybridization, and the sensitivity of tropical montane birds to deforestation. While no formal awards are listed, his extensive contributions to biodiversity conservation are evident through collaborative projects and field-based studies in regions like the Andes and Amazonia. Advising activities are not detailed here, but his involvement in interdisciplinary initiatives underscores a commitment to training future conservation scientists. Laboratory affiliations include the Ordway Lab of Ecosystem Conservation and participation in programs like SEACAP (Southeast Aquatic Connectivity Assessment Project). His research frequently addresses the ecological consequences of landscape changes, offering critical insights for sustainable management strategies in agricultural and urbanized landscapes.

Pietro ManzoniView profile

Professor

• Internet of Things (IoT)
• Mobile Wireless Networks
• LPWAN Technologies
• +7 more

Pietro Manzoni is a Professor of Computer Engineering at the Polytechnic University of Valencia (UPV), Spain. He holds a Master's from the University of Milan (1989) and a Ph.D. from Politecnico di Milano (1995). His research focuses on IoT, edge computing, and wireless networks, with emphasis on TinyML, LPWAN, and edge-cloud systems. He coordinates the Computer Networks Research Group (GRC) and is active in IEEE committees. Education includes a Master's in Computer Science (Università degli Studi di Milano, 1989) and a Ph.D. in Computer Science (Politecnico di Milano, 1995). He interned at Bellcore Labs (USA, 1992–1993) and ICSI (USA, 1994). Research interests span IoT applications, resource-constrained devices, and distributed systems. His work prioritizes empirical validation through prototypes. Teaching includes courses on Networks and Security, Intelligent IoT Systems, and IoT fundamentals in Spanish programs. Publications emphasize IoT protocols, UAV swarms, and TinyML. No scientific awards listed, but over 130 theses advised. Coordinates GRC projects and contributes to editorial boards and conferences.

• Emerging Markets
• Global Studies
• International Economics
• +3 more

Robert Grosse is a Professor of Business Administration and Director for Latin America at Thunderbird School of Global Management. He has held significant leadership roles, including Dean of the School of Business Administration at the American University of Sharjah (2014–2016) and Director General of EGADE Business School in Mexico (2009–2011). He has also served as the founding Director of Standard Bank Group's Global Leadership Centre, focusing on leadership development for over 11,000 executives. Education: Ph.D. in International Economics from the University of North Carolina and a B.A. from Princeton University, both in International Economics. Research focuses on international business, global strategy, and emerging markets, with expertise in financial crises and Latin American firms. His notable works include books like Emerging Markets: Strategies for Competing in the Global Value Chain (2015) and Can Latin American Firms Compete? (2007). He is a Fellow of the Academy of International Business and the Business Association for Latin American Studies. Professional memberships include the Academy of International Business (President, 2012–2014), American Economic Association, and others. He has advised numerous companies and governments globally, spanning industries like banking, oil, and technology. His consulting engagements include projects for the United Nations, U.S. government agencies, and major corporations such as IBM and Citibank. He has supervised over 20 Ph.D. and Master’s theses, covering topics like financial strategies in Latin America and international business expansion. His academic career spans institutions like the University of Miami, George Mason University, and Universidad del Pacífico (Peru). Lives in Glendale, Arizona, with interests in outdoor activities and sports like taekwondo.

Hyuck M. KwonView profile

Professor

• Wireless Mobile Communications
• Communication Systems
• Information Theory
• +6 more

Hyuck M. Kwon is a Full Professor of Electrical and Computer Engineering at Wichita State University (WSU), part of the College of Engineering. His research focuses on wireless communications, including satellite systems, smart antennas, MIMO, and CDMA. He has held academic appointments since 1985, including visiting roles at institutions like KAIST and George Mason University. Kwon has supervised numerous PhD and MS students and has been recognized with prestigious awards, including the Dwane and Velma Wallace Outstanding Educator Award. His work spans over 100 publications and grants from agencies like the Air Force and NASA. He has developed courses such as '5G Wireless Communications' and 'Information Theory'. Education: Ph.D. in Computer, Information and Control Engineering, University of Michigan (1984) MSEE, Seoul National University (1980) BSEE, Seoul National University (1978) Research Interests: Wireless communications and networks Smart antennas and MIMO systems 5G/6G technologies Signal processing for communications Anti-jamming and secure communications Grants and Awards: Over $2M in research funding from the Air Force, NASA, and industry partners Awarded multiple Air Force Summer Faculty Fellowships (2014–2016) Nominated for NAI Fellow (2017) Lab/Teams: Active in developing advanced communication systems, including satellite digital beamforming and nano-antenna research with metamaterials.

Michelle ZhuView profile

Professor

• Parallel and Distributed Computing
• Big Data Analytics
• Cloud Computing
• +4 more

Dr. Michelle Zhu is a Professor and Associate Director for Faculty and Academic Affairs at the School of Computing, Montclair State University. She previously held roles as Associate Professor and Director of Undergraduate Programs at Southern Illinois University Carbondale. Dr. Zhu holds a Ph.D. in Computer Science from Louisiana State University and a B.S. in Biomedical Engineering from Zhejiang University. Her research focuses on parallel/distributed computing, big data analytics, and high-performance networking, supported by grants from NSF, DOE, and NVIDIA. She has authored over 150 peer-reviewed publications. Education: Ph.D., Computer Science, Louisiana State University (2005) M.Sc., Computer Science, Louisiana State University (2002) B.S., Biomedical Engineering, Zhejiang University (1996) Her research interests span parallel computing architectures, cloud workflow scheduling, and cybersecurity. She has led initiatives integrating computational thinking into STEM education and developed robotics-based learning tools. Her work has been funded through NSF grants such as the $1.1M "Assimilating Computational and Mathematical Thinking into Earth and Environmental Science" project (2017–2022). Dr. Zhu’s articles explore topics like blockchain-based cloud security, GPU-accelerated Gibbs sampling, and edge computing deployment strategies. She actively contributes to academic governance, serving on Montclair State’s Middle States accreditation committee and the University Academic Assessment Council. Key Grants: NSF MRI: Multimodal Collaborative Robot System (MCROS), $321,737 (2021–2024) DOE: Scalable Application Support Platform for E-Sciences, $389,398 (2009–2013) Service Roles: Curriculum Committee Chair, Computer Science Department Blue Ribbon Task Force for Gen Ed Redesign (2019–2020) She collaborates on robotics projects like MCROS and leads outreach efforts to engage pre-university communities in AI and robotics education.

Xiang SunView profile

Assistant Professor

• Mobile Edge Computing
• Internet of Things (IoT)
• Drone-assisted Mobile Access Networks
• +5 more

Dr. Xiang Sun is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (2018), and M.E. and B.E. degrees from Hebei University of Engineering (2011 and 2008). His research focuses on Mobile Edge Computing, IoT, Drone-assisted Networks, Green Computing, and Data Center Optimization. Dr. Sun has been recognized with awards such as the 2018 InterDigital Innovation Award and NJIT Hashimoto Prize. Education: Ph.D., Electrical Engineering, NJIT (2018) M.E., Computer Applications Technology, Hebei University (2011) B.E., Electronic Information, Hebei University (2008) Research Interests: His work emphasizes IoT resource caching, semantic discovery, green communications, and drone-based mobile access networks. He also explores machine learning applications in edge computing and cybersecurity. Publications & Contributions: Dr. Sun has authored over 40 journal/conference papers, including impactful work on cloudlet networks and IoT semantic mashup. His research has been published in IEEE Transactions, Communications Letters, and top-tier conferences like ICC and GLOBECOM. Awards: 2018 InterDigital Innovation Award 2018 NJIT Hashimoto Prize 2017 IEEE Communications Letters Exemplary Reviewer 2016 IEEE ICC Best Paper Award Professional Activities: He serves as a TPC member for IEEE CCNC and MobiEdge, and reviewer for top journals like IEEE Transactions on Cloud Computing and IEEE Internet of Things Journal. He co-chairs the Social Computing and Semantic Data Mining symposium at IEEE ICNC 2019. Labs & Teams: Active in UNM's Electrical & Computer Engineering labs, focusing on mobile edge computing and IoT innovation. Collaborates with industry partners like InterDigital Communications.

Malcolm MacdonaldView profile

Professor

• Space Technology
• Astrodynamics
• Networked Systems
• +3 more

Eur Ing Malcolm Macdonald is a Professor of Electronic and Electrical Engineering at the University of Strathclyde. He serves as Director of the Applied Space Technology Laboratory (ApSTL) and the Centre for Signal and Image Processing (CeSIP). Additionally, he holds Visiting Professor roles at University College Dublin's Centre for Space Research and is Vice-Chair of the UK Space Agency's Space Technology Advisory Committee. His expertise spans space mission design, networked systems, and sustainable space technologies, with a focus on democratizing space data accessibility. He contributed to Scotland's first CubeSat and led initiatives like the Scottish Centre of Excellence in Satellite Applications (SoXSA). Research interests include astrodynamics, swarm engineering, and Earth observation, leveraging systems engineering to address global challenges. Notable awards include the 2020 Copernicus Masters Transport Challenge and the 2024 CompleNet Best Poster Award. He advises on over 80 research projects, focusing on satellite constellations, offshore energy monitoring, and space debris mitigation. His work integrates multidisciplinary approaches, emphasizing resilience and innovation in space systems. Labs and teams include ApSTL and CeSIP, where he leads a team of researchers and postgraduate students. Equipment resources include specialized drones and control systems for experimental validation. Collaborations span academia, industry, and government, driving advancements in space technology and policy.

Patrycja RozbickaView profile

Lecturer

• Political Science
• European Union Policy-Making
• Interest Group Lobbying
• +4 more

Dr Patrycja Rozbicka is a Lecturer in Politics, History and International Relations at Aston University, affiliated with the Aston Centre for Europe (ACE) and the Centre for Migration and Forced Displacement. She holds a PhD from the European University Institute and has held academic positions in Germany, Canada, and Belgium. Her research focuses on interest group influence in EU and national policymaking, live music industry regulation post-Brexit/Covid, and migration policy. She leads the Birmingham Live Music Project and the IR-Aesthetics initiative, examining cultural policy intersections. Dr Rozbicka has published over 50 articles and received the 2018 Innovations in Teaching Politics Award. Her work bridges policy analysis with cultural and economic impacts, emphasizing democratic accountability and stakeholder participation. Education: PhD in Political and Social Sciences, European University Institute (2011) MRes in Political and Social Sciences, European University Institute (2007) MA in Analysing Europe, Maastricht University (2006) BA in International Relations, University of Warsaw (2005) Research Interests: Central themes include: Interest group lobbying strategies and policy influence Live music industry regulation in post-Brexit UK/EU contexts Migration policy and refugee integration Environmental policy dynamics Her work employs comparative frameworks, with recent focus on Global South interest groups and pandemic impacts on cultural sectors. Awards & Media Engagement: Recipient of the 2018 teaching award. Active in media commentary on music industry challenges, Brexit effects, and refugee crises, featured in outlets like Grapevine Birmingham and multiple policy reports. Grants & Collaborations: Leads interdisciplinary projects including the Birmingham Live Music Project and Comparative Interest Group Survey (CIGS), collaborating with institutions across Europe. Serves as EuroSim European Associate Director (2018-2021).

• Sustainable operations and circular supply chains
• Multi/Omni-channel distribution and supply chain network design
• Process optimization in manufacturing and service operations
• +3 more

Dr. Nail Tahirov is an Assistant Professor in Operations & Supply Chain Management at Durham University Business School. He holds a PhD in Production and Supply Chain Management from the Technical University of Darmstadt, Germany, and conducted postdoctoral research at the University of Zurich, Switzerland. His research focuses on applying management science techniques to optimize operations across industries, particularly in internal logistics, scheduling, and corporate education. Key areas include sustainable operations, multi-channel supply chain design, and process optimization in manufacturing/service sectors. His publications span European Journal of Operational Research , International Journal of Production Economics , and others, addressing topics like last-mile distribution networks, service-level anchoring in demand forecasting, and closed-loop supply chain optimization. His work emphasizes practical applications such as encroaching manufacturer strategies, workforce scheduling in hospitality, and automated warehouse logistics. Tahirov’s research integrates theoretical frameworks with real-world consultancy projects, aiming to resolve operational inefficiencies in both manufacturing and service industries. No scientific awards are explicitly listed in the provided materials. His advising and grant activities are currently unspecified, though his research collaborations involve institutions like TU Darmstadt, University of Zurich, and industry partners. No dedicated lab or team affiliations are noted in the profile.

Ding Ze YangView profile

Lecturer

• Industrial AI
• Deep Learning
• Data-Driven Modeling
• +4 more

Dr. Ding Ze Yang is a Lecturer in the Department of Electrical and Robotics Engineering at Monash University Malaysia. He holds a PhD (2023) and Bachelor's degree (2019) in Engineering from the same institution. His research focuses on Industrial AI, emphasizing data-driven soft sensors for industrial process monitoring, with applications in manufacturing, energy, and logistics. He has published in journals like IEEE Transactions on Industrial Informatics and Soft Robotics. Education: PhD in Engineering, Monash University Malaysia (2019–2023) Bachelor of Engineering (Honours) in Electrical and Computer Systems Engineering, Monash University Malaysia (2015–2019) Research Interests: Industrial AI, deep learning, data-driven modeling, process monitoring, autonomous systems, and soft sensor development. His work addresses challenges in predictive maintenance, process optimization, and sustainable manufacturing through AI-driven solutions. Publications: Recent work includes contributions to soft sensor modeling, transfer learning for multi-agent systems, and Kalman filter optimization. These publications highlight advancements in industrial AI applications. Collaborations: Active collaborations include projects on soft robotics, energy storage systems, and autonomous transportation. He is open to supervising PhD students in these areas.

• History of Science
• Material Culture
• Embodied Knowledge
• +6 more

Pamela H. Smith serves as the Seth Low Professor of History at Columbia University and founded the Center for Science and Society, directing its flagship Making and Knowing Project. Her academic leadership centers on reconstructing historical craft practices through interdisciplinary collaboration. Her research investigates craft and practice as foundational ways of knowing, focusing on material culture, embodied knowledge, and the transmission of practical techniques across early modern Europe and Eurasia. Smith pioneers hands-on historical reconstruction methods to analyze how artisans generated, recorded, and transformed knowledge, bridging history of science with material studies. Smith's recent publications reveal consistent patterns in trans-regional knowledge exchange, emphasizing material complexes and socio-technical networks. Her 2022 monograph and 2019 edited volume demonstrate how craft practices operated within global systems, with recurring themes in reconstruction methodology, material agency, and the epistemological value of making. As director of the Making and Knowing Project, Smith secured major collaborative funding to produce open-access resources including 'Secrets of Craft and Nature in Renaissance France' (2020), the Research and Teaching Companion, and the EditionCrafter digital publishing platform. She currently leads longue durée investigations into pre-industrial industry's socio-natural environments.

Ilan KrooView profile

Professor

• Multidisciplinary Optimization
• Aircraft Synthesis
• Unconventional Aircraft Design
• +5 more

Dr. Ilan Kroo Academic Appointments: Thomas V. Jones Professor in Aeronautics and Astronautics at Stanford University's School of Engineering. Active in teaching and research since at least 1983 (PhD Stanford). Education: PhD in Aeronautics and Astronautics, Stanford University (1983). Research Focus: Multidisciplinary optimization and aircraft synthesis Unconventional aircraft configurations (e.g., joined wings, oblique wings) Low-speed aerodynamics: vortex wake analysis, induced drag computation Awards: Elected Member of the National Academy of Engineering (2013–Present). Teaching: Leads courses on aircraft design, applied aerodynamics, and sustainable aviation. Courses include AA 146A/B, AA 241A/B, and independent study modules. Students: Advises master's students William Ho, Sean Lin, Adrian Loekman, and Sebastian Monsalvo. Labs/Teams: Involved in NASA and industry-sponsored projects on computational aircraft design and transonic formation flight. Recent Work: Focus on pilot-induced oscillation mitigation, extended formation flight efficiency, and UAV swarm control. Active in publishing since 2009, with 116+ papers.

• Network Routing
• Segment Routing
• Software Defined Networking
• +6 more

Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.

Shinyoung ChoView profile

Assistant Professor

• network security
• privacy
• network measurements
• +5 more

Shinyoung Cho is an Assistant Professor of Computer Science at Smith College. Her contact information includes email scho@smith.edu and phone number 413-585-3847, with an office located in Ford Hall 356. Dr. Cho's research focuses on network security, privacy, and network measurements. She utilizes various algorithms and global continuous in-depth measurements to detect and mitigate malicious actions performed by network-level entities such as autonomous systems. Her work specifically targets attacks on accessibility, security, and anonymity. The 'detecting' aspect of her research investigates when network protocols are repurposed for Internet censorship and when network traffic hijacking occurs. The 'mitigating' portion focuses on threats that prey on the vulnerability of the Tor network. Dr. Cho's publication record demonstrates expertise in Internet censorship measurement, BGP hijacking classification, network proxy geolocation, and censorship localization techniques. Her research combines network measurement techniques with security analysis to address critical internet infrastructure vulnerabilities, with publications spanning from 2017 to 2020 in top security and networking venues. Her educational background includes: Ph.D. from Stony Brook University M.Sc. from Sungkyunkwan University B.Eng. from Baekseok University During her doctoral studies, she gained valuable research experience as a visiting researcher at the University of Massachusetts, Amherst; IIJ research lab in Japan; and CAIDA at the University of California San Diego.

Stavros ShiaelesView profile

Associate Professor

• Cyber Security
• Malware Analysis
• Anomaly Detection
• +13 more

Dr. Stavros Shiaeles is an Associate Professor in Cybersecurity at the Faculty of Technology , University of Portsmouth, and Co-Director of the Portsmouth AI and Data Science Centre (PAIDS) . With over 130 publications and 3000+ citations, he specializes in cybersecurity, applied AI, and threat mitigation frameworks. Academic Qualifications : PhD in Electrical and Computer Engineering (Democritus University of Thrace, 2013), MEng in Electrical and Computer Engineering (Democritus University of Thrace, 2007), MBA in Human Resource Management (University of Plymouth, 2016), and PG Cert in Academic Practice (University of Plymouth, 2017). Research Interests span cybersecurity, malware detection, blockchain, 6G networks, AI/ML applications, digital forensics, and post-quantum cryptography. His work addresses threats in IoT, financial systems, and critical infrastructure while exploring SDG4 (Quality Education) through cybersecurity training. Recent publications emphasize AI-driven anomaly detection (e.g., ransomware behavior analysis, 6G traffic monitoring), deepfake forensics, synthetic image attribution, and hybrid blockchain/AI security architectures. He also curates datasets for malware analysis and synthetic media classification. Scientific Awards : IEEE SMC TCHS Outstanding Service Award (2021). Grant Funding : Over €18M secured in EU Horizon 2020 grants, including €8M as Principal Investigator for the ongoing XTRUST-6G project. Active in KTPs, consulting, and research commercialization opportunities.