Find Academic Supervisors

Imran AsifView profile

Assistant Professor

• Software Engineering
• Cloud Computing
• Machine Learning
• +3 more

Imran Asif is an Assistant Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo (SUNY), part of the School of Engineering and Applied Sciences. He holds a PhD in Computer Science and Engineering from UB (2022), an MS in Software Engineering from IIT, University of Dhaka (2014), and a BS in Information Technology from the same institution (2012). His research focuses on optimizing software resource utilization via code smell refactoring in cloud environments, blending cloud computing, software engineering, and machine learning. He has received grants including a 2024 NSF EAGER award ($350k) and a 2022 Best Presenter Award at ESSE. Teaching is central to his work, emphasizing student success through mentorship and curriculum design. He has taught courses like Operating Systems and Software Engineering at UB and CSUSM, advising over 200 students. His academic experience includes roles as an ABET committee member (CSUSM), research assistant at UB, and intern at IBM T.J. Watson. Key honors include the CSE Chair’s Fellowship (2017) and academic excellence gold medal (2015). His publications span 23 refereed articles and conference proceedings, addressing topics like code smell analysis, cloud resource optimization, and fault-tolerant middleware. He actively participates in workshops on teaching strategies and has presented at venues including IEEE CloudCom and ENASE. Imran leads efforts in integrating teaching and research, advocating for sustainable software practices and student-centered learning. His lab focuses on empirical studies of code refactoring impacts and cloud resource efficiency, with ongoing projects funded by NSF and industry collaborations.

Selcuk UluagacView profile

Associate Professor

• Cybersecurity
• Internet of Things
• Network Security
• +2 more

Dr. Selcuk Uluagac is an Associate Professor in the Department of Electrical and Computer Engineering at Florida International University. His research focuses on cybersecurity challenges in emerging technologies including Internet of Things, blockchain systems, and next-generation networks. His work addresses critical security vulnerabilities in modern computing environments, with particular emphasis on IoT device security, ransomware defense, and privacy-preserving technologies. Dr. Uluagac has developed novel frameworks for securing smart home systems, detecting cryptojacking activities, and analyzing security issues in enterprise IoT deployments. Current research explores security implications of Web 3.0 technologies, decentralized identity systems, and privacy aspects of extended reality devices. His contributions include innovative defense mechanisms for ransomware attacks over web browsers, security protocols for 5G networks, and forensic techniques for IoT systems.

J. Scott ChristiansonView profile

Academic

• Artificial Intelligence
• Blockchain Technology
• Entrepreneurship
• +4 more

J. Scott Christianson is an Associate Teaching Professor in the Management Department and Director of the Center for Entrepreneurship and Innovation at the University of Missouri’s Robert J. Trulaske, Sr., College of Business. He specializes in emerging technologies, project management, and educational innovation, with a focus on integrating AI, blockchain, and IoT into curricula. Christianson has held faculty roles since 2014 and previously owned Kaleidoscope Consulting (1998–2019), a firm specializing in videoconferencing solutions. Education: MA in Education and Human Development from The George Washington University (1999) and BA in Biology from the University of Missouri (1991). Research & Teaching: Develops courses on management information systems, entrepreneurial ventures, and digital transformation. His work emphasizes critical thinking about technologies like blockchain and AI, and he has authored textbooks and numerous articles on these topics. Awards: Multiple teaching honors including the Raymond O’Brien Award (2017), Distance Learning Leadership Award (2009), and Top 20 Under 40 (2007). Recognized for contributions to edtech, including pioneering work in interactive television and videoconferencing. Grants & Leadership: Secured grants for integrating clinical simulations into courses and improving project management education. Served on boards such as the State Technical College of Missouri and Boone County Industrial Development Authority. Active in community initiatives like broadband planning and K–12 technology advocacy. Publications: Over 100 works, including books on certification, project management, and educational tech, plus peer-reviewed articles in vision science and computer security. Regular contributor to media discussions on AI, cryptocurrency, and digital ethics.

Iva YoukilisView profile

Teaching Professor

• Language Learning Technology
• Augmented Reality in Education
• Second Language Acquisition
• +3 more

Iva Youkilis serves as a Teaching Professor of Italian in the School of Languages, Literatures, and Cultures at the University of Missouri, within the College of Arts and Science. She holds an M.A. in Italian Literature from the University of Virginia and a B.A. in Italian and Russian Language, Literature, and Linguistics from the University of Zagreb, Croatia. Her research focuses on innovative language pedagogy through emerging technologies such as augmented reality (AR) and Metaverse applications, emphasizing intercultural competence development and digital immersion strategies. Her recent presentations highlight work with the Fossett Lab to explore immersive tech in language education, including AR-enhanced grammar practice and Metaverse-based language labs. She actively contributes to professional organizations like ACTFL and FLAM, advocating for technology integration in language teaching. Her courses span elementary through advanced Italian language instruction, online programs, and independent studies focusing on modern Italian literature and media. No scientific awards are listed, though her work demonstrates significant contributions to pedagogical innovation. Advising and grant activities are not explicitly detailed in available materials. She is affiliated with the Coalition of Language Teaching and Learning (CLTL) and collaborates with institutions across the U.S. on transdisciplinary educational initiatives.

CARLOS BUSSOView profile

Professor

• Affective Computing
• Multimodal Human-Machine Interfaces
• In-Vehicle Safety Systems
• +4 more

Carlos Busso is a Professor in the Department of Electrical and Computer Engineering at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering & Computer Science. He leads the Multimodal Signal Processing (MSP) Laboratory and holds IEEE Fellow status. His research focuses on affective computing, multimodal human-machine interfaces, and machine learning applications in healthcare, transportation, and education. Education: PhD in Electrical Engineering (University of Southern California, 2008), MS/BS in Electrical Engineering (University of Chile, 2000-2003). Awards include the NSF CAREER Award, ICMI Ten-Year Technical Impact Award, and Best Paper recognitions at IEEE ICME and AAAC ACII. Research interests span human-centered multimodal intelligence, in-vehicle safety systems, and speech-based emotion recognition. He has contributed to landmark datasets like the MSP-GEO Corpus and pioneered label-free metabolic imaging techniques for oral cancer detection. Professional activities include leadership roles as General Chair of ACII 2017 and ICMI 2021, and editorial positions with IEEE Transactions on Affective Computing and IEEE Signal Processing Letters.

• Software Engineering
• Cybersecurity
• Behavioral Biometrics
• +3 more

Dr. Daqing Hou is a Professor at Clarkson University's Coulter School of Engineering & Applied Sciences, affiliated with the Department of Electrical & Computer Engineering and Computer Science. His research bridges software engineering, cybersecurity, behavioral biometrics, and education research. He earned his Ph.D. in Computing Science from the University of Alberta, and M.S./B.S. in Computer Science from Peking University. Research focuses on improving software development efficiency through project-based learning (PjBL), empirical studies, and human factors. Key areas include behavioral biometrics (keystroke/mouse dynamics), smart housing/energy systems, and cybersecurity solutions. He has pioneered tools like CReN for managing code clones and has contributed to Eclipse/UIMA frameworks. Recent publications emphasize behavioral authentication methods, mobile biometrics evaluation, and framework design recommendations. His work has been recognized with awards including IEEE ICSME 2014 Best Paper Nomination and IBM Innovation Awards (2005/2007). Teaching spans software engineering, GUI design, databases, machine learning, and compilers. He advises students on topics like API usability, security systems, and programming language tools.

Dimitri VolchenkovView profile

Professor

• Nonlinear Dynamics
• Complex Systems
• Stochastic Processes
• +3 more

Dr. Dimitri Volchenkov is a Professor in the Department of Mathematics and Statistics at Texas Tech University, specializing in nonlinear dynamics, complex systems, and stochastic processes. His research integrates mathematical physics, statistical mechanics, and network theory to study phenomena ranging from social dynamics to urban mobility. His core research areas include developing mathematical frameworks for complex networks, analyzing predictability in non-ergodic systems, and applying statistical mechanics to biological and social systems. Recent work focuses on information propagation in social networks, detection of disinformation campaigns, and modeling human navigation patterns in urban environments. Volchenkov has published extensively on network-based analysis of social phenomena, including studies on troll networks, social conformity, and opinion dynamics. His applied research includes pedestrian movement modeling on university campuses, tornado severity prediction, and polymer physics. He received the International George M. Zaslavsky Award in 2020 and maintains active research projects funded by organizations including the Department of Defense. Volchenkov teaches courses in linear algebra, mathematical statistics, and specialized topics in complex systems.

Dan WuView profile

Associate Professor

• Machine Learning
• Uncertain Reasoning
• Robotics
• +3 more

Dr. Dan Wu is an Associate Professor at the School of Computer Science, University of Windsor. His research focuses on uncertain reasoning, machine learning, knowledge representation, and robotics. He holds a PhD from the University of Regina (2003). His work bridges theoretical advancements and practical applications in robotics, traffic systems, and probabilistic inference. Education: PhD in Computer Science, University of Regina, 2003 Research Interests: Machine Learning: Focused on deep learning models for traffic prediction and robotics. Uncertain Reasoning: Developing probabilistic methods for cooperative robotic systems. Robotics: Multi-robot coordination, navigation, and obstacle avoidance. Knowledge Representation: Applications in distributed Bayesian networks and graph-based systems. Publications Trends: Recent work emphasizes urban traffic management (reinforcement learning for signal control), vehicular networks (task offloading in 5G), and privacy-preserving federated learning. Earlier studies addressed multi-robot coverage algorithms and probabilistic localization techniques. Lab/Teams: Active in AI-driven robotics and intelligent transportation systems research, though specific lab names are not explicitly mentioned in the provided texts.

Halil YetginView profile

Lecturer

• Wireless Networks Optimization
• Multi-Objective Optimization
• AI for Wireless Networks
• +7 more

Dr. Halil Yetgin is a Lecturer in Computing Science at the Department of Computer Science, Middlesex University, within the Faculty of Science and Technology. His expertise spans wireless networks optimization, AI-driven solutions, and IoT automation. He holds a PhD in Wireless Communications from the University of Southampton and has held academic roles in Turkey and Slovenia. Teaching Roles: Module Leader for CST2133 (Data Science and Machine Learning) and CST3133 (Advanced Topics in Data Science/AI) Programme Leader for BSc Computer Science (Systems Engineering) Research Focus: Lifetime optimization of wireless networks Multi-objective optimization using evolutionary algorithms (e.g., NSGA-II) AI applications in IoT, vehicular networks, and UAV systems Zero-touch IoT provisioning and anomaly detection Publications & Collaborations: Over 20 peer-reviewed articles in journals like IEEE Transactions and conferences (ENASE, WCNC) Contributions to EU-funded projects and IEEE technical committees Editorial roles in several journals Advising: Supervised multiple MSc and PhD students in AI-driven wireless systems and optimization. Labs/Teams: Active in the Next Generation Wireless Research Group and collaborations with Jožef Stefan Institute.

Elizabeth StobertView profile

Assistant Professor

• Human-Computer Interaction
• Computer Security
• Usable Security
• +4 more

Elizabeth Stobert is an Assistant Professor and Human-Computer Interaction (HCI) Program Co-Director at the School of Computer Science, Carleton University. Her research focuses on usable security systems, integrating cognitive science principles to enhance security design in healthcare and education contexts. She holds a leadership role in advancing security education and authentication practices. Her work emphasizes improving user experiences in authentication systems, cybersecurity education, and addressing cultural and contextual factors in security practices. Key projects include studies on password management, digital legacy planning, and healthcare IT security gaps in emergency departments. She leads the SPIRL lab (website: https://spirl.scs.carleton.ca ), which explores human-centered security solutions. Dr. Stobert’s research has been disseminated through top-tier venues, analyzing user behavior in IoT authentication, cross-cultural security practices, and emergency department cybersecurity challenges. She advocates for interdisciplinary approaches to bridge gaps between technical security measures and human usability needs.

Konstantinos LimniotisView profile

Lecturer

• Cryptography
• Boolean Functions
• Network Security
• +5 more

Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.

Jinyuan SunView profile

Associate Professor

• Network Security
• Wireless Communications
• Mobile Computing
• +3 more

Jinyuan Sun is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. She joined the faculty in 2010 as an Assistant Professor and has since specialized in network and system security, wireless communications, and mobile computing. Her work emphasizes securing critical infrastructure like smart grids and cyber-physical systems against adversarial attacks and ensuring privacy in data communications. Education: She holds a BSc in Computer Information Systems from Beijing Information Technology Institute (2003), an MASc in Computer Networks from Ryerson University, Canada (2005), and a PhD in Electrical and Computer Engineering from the University of Florida (2010). Before academia, she worked as a Network Test Developer at RuggedCom Inc., Canada (2005–2006). Research Interests : Her research focuses on security and privacy in wired/wireless networks, including adversarial machine learning for cyber-physical systems, secure authentication systems leveraging user behavior, and privacy-preserving mechanisms for smart grids. She explores vulnerabilities in energy markets, deep learning-based fraud detection, and resilient communication protocols. Publications: Her recent work spans topics like constrained adversarial machine learning, secure encryption schemes for smart grids, and dynamic privilege control in authentication systems. These contributions highlight her expertise in bridging theoretical cybersecurity with practical applications in critical infrastructure. Advising & Grants: She actively seeks self-motivated PhD students to advance research in network security and mobile computing. While specific grants are not listed here, her work reflects sustained engagement with funded research initiatives in cybersecurity and smart systems.

Mincheol ShinView profile

Assistant Professor

• Media Psychology
• Human-Computer Interaction
• Experimental Methods
• +6 more

Mincheol Shin is an Assistant Professor at Tilburg University's Department of Communication and Cognition, part of the Tilburg School of Humanities and Digital Sciences. He holds a PhD from Syracuse University, a master's degree from Nanyang Technological University, and a bachelor's from Sungkyunkwan University. His research focuses on socio-psychological effects of interactive and immersive technologies, including virtual reality (VR), mixed reality (MR), and chatbots. He explores topics like uncanny valley effects, influencer marketing authenticity, and pro-environmental campaign messaging. Editorial Board Member: Frontiers in Robotics & AI Vice President: Korean American Communication Association (KACA) His recent work examines how XR technologies influence emotional states, trust in AI agents, and learning intentions. He has published in journals like International Journal of Human-Computer Interaction and Journal of Media Psychology . Shin’s research highlights the dual-edged nature of immersive technologies, showing both their persuasive potential (e.g., pro-environmental campaigns) and challenges (e.g., trust issues with eerily realistic chatbots).

• Machine Learning
• Biometric Systems
• Computer Vision
• +2 more

Sumaiya Shomaji is an Assistant Professor in Electrical Engineering and Computer Science at the University of Kansas School of Engineering. Her research integrates machine learning, computer vision, and hardware security to develop innovative solutions in biometric authentication, wearable healthcare, and electronic supply chain security. She has created advanced frameworks like the Hierarchical Bloom Filter for efficient biometric identification and wearable ultrasound devices for cardiovascular monitoring. Current projects include human-to-device authentication paradigms, nano-electromechanical tags, and blockchain applications for supply chain integrity. Her work emphasizes security, efficiency, and scalability for IoT applications.

Eduardo Castelló FerrerView profile

Assistant Professor

• Robotics
• Blockchain Technology
• Swarm Robotics
• +3 more

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .