Find Academic Supervisors

Michael ZinkView profile

Assistant Professor

• Network Protocols
• Multimedia Distribution
• Wireless Networks
• +5 more

Michael Zink is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst and an adjunct assistant professor in the Manning College of Information and Computer Sciences (CICS). He is affiliated with the Microwave Remote Sensing Laboratory and has held roles including assistant research professor in computer science. His research focuses on network protocols, multimedia distribution systems, and high-bandwidth data networks, with contributions to the KOMSSYS streaming platform and FPGA-based network architectures. Zink's work spans topics like secure video streaming, LED wall calibration, and federated learning for sustainable UAV operations. He received the Best Paper Award at Multimedia Computing and Networking (2008). Education: PhD from Darmstadt University of Technology. Research Interests: Sensor networks, wireless and wired multimedia distribution, network protocol optimization, video streaming security, and distributed cloud platforms. Recent work includes innovations in hue-preservation for virtual production and carbon-efficient federated learning (CEFL). Technical Contributions: Developed systems for real-time route configuration of entertainment content, scanner noise elimination in film restoration, and profile-based HDR content generation. His team explores network-attached FPGAs in cloud environments and edge-to-cloud workflows for scientific applications. Labs & Teams: Active in the Microwave Remote Sensing Laboratory and collaborates with the Open Cloud Testbed (OCT) for cloud infrastructure research. Engaged in federated cyberinfrastructure projects like the ERN Cryo-EM Pilot.

Shamkant NavatheView profile

Professor

• Data Modeling
• Database Design
• Data Integration
• +3 more

Shamkant Navathe - Professor of Computer Science Dr. Shamkant Navathe has been a faculty member at Georgia Tech's School of Computer Science since 1990. His research focuses on database systems, data integration, bioinformatics, and visualization. He currently serves as the Bioengineering PhD and MS Coordinator for the College of Computing. His affiliations include the School of Computer Science, Center for Bioinformatics and Computational Genomics, and Institute for People and Technology (IPaT). Key research areas include database modeling, data mining, and knowledge discovery. He has contributed to foundational textbooks like Fundamentals of Database Systems and pioneered work in semantic indexing, graph databases, and fairness in machine learning systems. His recent projects address challenges in smart mobility, disaster monitoring via social media, and healthcare analytics using physician notes. His publications span topics from data lake monitoring to clash resolution in construction, reflecting interdisciplinary collaboration. Though no awards are explicitly listed, his work has influenced both academic and industrial database practices globally. He advises on interdisciplinary projects involving bioinformatics and engineering design, though no specific students are listed here. His lab activities emphasize visualization tools (e.g., VIGOR), graph query systems, and declarative fairness frameworks like Omnifair.

Marianne Hirsch BallinView profile

Professor

• Criminal Law
• Criminal Procedure
• Privacy Law in Digital Contexts
• +6 more

Marianne Hirsch Ballin is a Full Professor of Criminal Law and Criminal Procedure at the Faculty of Law, Vrije Universiteit Amsterdam, and head of the Department of Criminal Law and Criminology. She holds dual roles as a professor and practicing attorney at Pels Rijcken law firm since 2021. Her expertise bridges academic research and legal practice, focusing on modernizing criminal procedure law and addressing digital privacy challenges in criminal investigations. Education: She earned her Master of Laws (cum laude, 2007) and PhD (2012) from Utrecht University, with a thesis on anticipative criminal investigation practices in counterterrorism. Her 2014 PhD work received the prestigious Syracusa Prize. Research Interests: Her work examines intersections of criminal law with privacy, digital evidence, intelligence services' legal frameworks, and European/international human rights contexts. She leads research on responsive criminal procedure theory, as articulated in her 2018 inaugural lecture and 2022 advisory report. Professional Activities: She serves on the Letschert Commission for modernizing the Dutch Criminal Procedure Code (Wetboek van Strafvordering), and holds leadership roles in organizations like the Nationaal Comité 4 en 5 mei and the SDU Wettenbundel editorial board. Her recent publications focus on automated data analysis in criminal procedures and Outlaw Motorcycle Gang legal dynamics. Grants & Awards: Recipient of the Syracusa Prize (2014). Active in research grants including the Digitale Burgeropspoorders project (2020-2023). Advising: Supervised one PhD thesis (details not specified here). Engaged in editorial and peer review roles for legal journals like Boom Strafblad . Labs/Teams: Leads the Kooijmans Institute's Empirical and Normative Studies research group, focusing on applied legal research and policy development.

Ganesh KrishnasamyView profile

Lecturer

• Computer Vision
• Machine Learning
• Pattern Recognition
• +6 more

Ganesh Krishnasamy is a Lecturer at the School of Information Technology, Monash University Malaysia. He holds a PhD in Electrical Engineering from the University of Malaya, with earlier degrees from Universiti Kebangsaan Malaysia (B.Eng and M.Eng in Electrical and Electronic Engineering). His research focuses on computer vision, pattern recognition, manifold learning, and semi-supervised learning, with applications in multimedia processing and understanding. He has led three research projects including 'AEinstein: Adversarial AI amongst Materials Discovery Domains' and pioneered semi-supervised action recognition in videos. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure. Research Interests: Computer Vision Pattern Recognition Manifold Learning Semi-Supervised Learning Optimization Algorithms HDR Image Reconstruction Recent Projects: AEinstein Project (2024-2026): Focuses on adversarial AI in materials discovery. Research Management System (2023-2024): Aims to optimize research workflows. Semi-Supervised Image-to-Video Adaptation (2020-2023): Developed ActNetFormer and other hybrid models. Publications: Over 16 outputs since 2014, with recent emphasis on HDR imaging, sports video analysis (badminton rally detection), and optimization techniques. His work bridges theoretical machine learning with commercial applications.

Moutaz HaddaraView profile

Professor

• Big Data
• Internet of Things (IoT)
• Enterprise Resource Planning (ERP) Systems
• +5 more

Prof. Moutaz Haddara is a Professor of Information Systems at Kristiania University College (Oslo, Norway), and holds adjunct professorships at SP Jain School of Global Management, TIAS School for Business & Society, University of South-Eastern Norway, and the American University in Cairo. He is the Founding Director of the IDEAS Lab and Program Manager for the IS-Digital Business Systems MSc program. His research focuses on ERP systems, Big Data, IoT, and digitization, with over 100 publications. He has received awards such as the Certificate of Excellence in Teaching and the Techne Summit Award. His work spans academic roles, industry consulting, and advisory roles for entities like Microsoft Dynamics Academic Alliance. Education : PhD in Information Systems from the University of Agder (Norway). Formerly an Associate Professor at Luleå University of Technology (Sweden). Research Interests : ERP lifecycle, cloud-based systems, IoT applications in healthcare and agriculture, big data analytics, and enterprise systems sustainability. His recent work examines smart city technologies, sustainable ERP adoption, and IoT in energy management. Grants & Projects : Funded projects from Egyptian, Norwegian, Finnish, and Swedish governments focusing on ERP systems and Big Data. Currently evaluates technology grants for the Egyptian Ministry of Communications. Awards : Includes teaching excellence, outstanding reviewing contributions, and recognition for service to academic institutions. Labs & Teams : IDEAS Lab (focusing on digital innovation and enterprise systems).

• Healthcare Informatics
• Population Health Management
• Artificial Intelligence in Healthcare
• +5 more

Dr. Adrian Zai is an Associate Professor in the Population and Quantitative Health Sciences Department at UMass Chan Medical School and holds roles in the T.H. Chan School of Medicine and Morningside Graduate School of Biomedical Sciences. He serves as Chief Research Informatics Officer (CRIO), overseeing the Research Informatics Core and strategic informatics infrastructure. His research focuses on healthcare informatics, population health management, and implementation science, leveraging AI and decision support systems to improve patient care. Dr. Zai’s work includes developing culturally tailored AI chatbots, optimizing informed consent processes, and enhancing telehealth solutions. Education: B.A. Chemistry (Boston University), MPH Healthcare Management (Harvard), MD and PhD Pathology (Boston University). His research interests emphasize data-driven solutions for population health, including chronic disease management, pandemic response strategies, and equitable healthcare access. Notable projects include the Healthy at Home COPD intervention and studies on SARS-CoV-2 diagnostics and antigen test distribution. Dr. Zai leads teams in clinical research infrastructure and collaborates on large-scale initiatives like the National COVID Cohort Collaborative. His lab, Research Informatics, supports data science needs across UMass Chan.

Majed AlmotairiView profile

Assistant Professor

• Information Systems
• Information Security
• Education Technology
• +3 more

Majed Almotairi is an Assistant Professor of Information Systems at Indiana Tech's Talwar College of Engineering and Computer Sciences since July 2023. Previously, he served as Assistant Professor at Southern Arkansas University (2019-2023) and Adjunct Professor at Towson University (2017-2019). He holds a Doctor of Science in Information Technology from Towson University (2019), a Master of Science in Information Systems from the University of East Anglia (2012), and a Bachelor of Education in Computing from King Saud University (2008). His research focuses on advancing Information Systems through customized learning solutions in education and healthcare contexts. Key areas include digital badging systems for student employability, healthcare decision support systems leveraging patient data, and metadata-driven health record management in cloud environments. His work bridges IT innovation with practical applications in education and healthcare delivery. Almotairi teaches courses such as Information Security, Database Management, Web Development, and Capstone Projects. His teaching philosophy emphasizes student success through personalized academic support both in and out of the classroom. His recent publications (2017-2023) reflect a strong emphasis on healthcare IT, customized learning frameworks, and information systems governance. No scientific awards are explicitly listed in his profile. His professional experience includes over 10 years in academia, with roles spanning teaching, research, and curriculum development in information systems and computer sciences.

Masashi WatanabeView profile

Lecturer

• Materials Characterization
• Electron Microscopy
• X-ray Energy Dispersive Spectrometry
• +5 more

Masashi Watanabe is a Lecturer in the Department of Materials Science & Engineering at Lehigh University, where he also serves as Associate Director of the Materials Characterization Facility under the Institute of Functional Materials and Devices. His research focuses on advanced materials characterization using electron microscopy techniques, including X-ray and energy-loss analysis in analytical electron microscopes (AEMs) and atomic-resolution scanning transmission electron microscopy (STEM). He pioneered the zeta-factor method for quantitative X-ray analysis and implemented multivariate statistical analysis (MSA) for spectrum imaging. Dr. Watanabe holds a Ph.D., M.S., and B.S. in Metallurgy from Kyushu University. He has secured significant research funding from the National Science Foundation, Department of Energy, and industry partners such as Bechtel Bettis Atomic Power Laboratory. He has authored over 250 publications and delivered 150+ invited presentations. His awards include the K.F.J. Heinrich Young Scientist Award (2005), Kazato Prize (2008), Seto Award (2011), and MAS/MAS Fellowships. He has organized microscopy schools since 2001, including the Lehigh Microscopy School, Arizona State University Winter School, and Osaka University’s Nano Science Education Program. He served as Microanalysis Society (MAS) President (2016–2018) and currently holds roles as Physical Science Director in the Microscopy Society of America (2020–2022). His research interests span electron microscopy innovations, statistical analysis of multidimensional data, and materials characterization of ceramics, alloys, and nanomaterials. His work emphasizes practical applications of microscopy techniques to guide materials design and performance optimization.

Steffen EickemeyerView profile

Adjunct Professor

• Lean Management
• Operations Management
• Supply Chain Management
• +3 more

Prof. Steffen Eickemeyer is an Adjunct Professor of Lean Management at the School of Business, Social & Decision Sciences at Constructor University Bremen gGmbH. His research focuses on capacity planning, regeneration of complex capital goods, supply chain optimization, and blockchain applications in logistics. He has contributed to the Belt and Road Initiative through studies on material flow security and has validated mathematical models for demand-driven capacity planning using case studies in global MRO companies. His academic work integrates data mining, statistical analysis, and mathematical modeling to address challenges in industrial asset management, maintenance strategies, and sustainable manufacturing processes. Notable contributions include optimizing regeneration workflows, reducing uncertainty in disassembly processes, and designing decision models for dynamic demand environments. Publications highlight his expertise in blockchain technologies for logistics security, fuzzy data management in maintenance systems, and availability optimization in capacity planning. His research bridges theoretical frameworks with practical applications in global industries, emphasizing cross-regional validation and real-world implementation. Prof. Eickemeyer collaborates with global enterprises to apply lean principles in complex industrial settings, focusing on lifecycle assessment, resource recovery, and cross-functional data integration. His work aligns with industry needs for reliable capacity solutions in fluctuating demand scenarios.

• Machine Learning
• Causal Inference
• Signal Processing
• +4 more

Yongqiang Chen is a Professor at the Chinese Academy of Sciences in the School of Engineering, Department of Computer Science and Engineering. With over 15 years of continuous research contributions spanning from 2005 to 2025, Dr. Chen has established himself as a versatile scholar working at the intersection of theoretical mathematics, machine learning, and practical engineering applications. Dr. Chen's research expertise encompasses: Machine Learning and Causal Inference, with recent focus on large language models and out-of-distribution generalization Signal and Image Processing, particularly in keyword spotting and watermarking applications Optimization Algorithms for engineering and management problems Theoretical Mathematics, including partition functions and combinatorial identities Engineering Management and Project Governance in construction contexts His recent publication trajectory (2023-2025) reveals a strategic evolution toward integrating causal reasoning with modern neural architectures, while maintaining strong connections to practical applications. Dr. Chen's work demonstrates exceptional interdisciplinary range, bridging pure mathematics with cutting-edge AI development and engineering solutions. His publications in venues like AAAI, NeurIPS, and IEEE Transactions reflect both theoretical rigor and practical relevance across multiple domains including renewable energy, neuroscience, and construction management. Dr. Chen maintains active collaborations with researchers across institutions, particularly with Bo Han on causal language models, James Cheng and Yiping Ke on brain network analysis, and various colleagues in engineering management. His research group appears to focus on developing theoretically sound yet practically applicable computational frameworks that address real-world challenges while advancing fundamental knowledge in machine learning and optimization.

David HayesView profile

Professor

• Accounting Information Systems
• Forensic Data Analytics
• Fraud Investigation
• +4 more

David Hayes is a Professor of Accounting and PBMares Faculty Scholar at the James Madison University (JMU) College of Business. His expertise spans Accounting Information Systems, Forensic Data Analytics, and Fraud Investigation. He holds a Ph.D. in Accounting Information Systems from the University of South Florida (2002), an M.B.A. from the University of West Florida (1996), and a B.S./B.A. in Accounting/Data Processing from the University of Arkansas (1987). His research focuses on forensic accounting education, fraud detection methods, and innovative teaching strategies. Notable work includes applying reality TV scenarios to teach fraud analysis and developing case studies using IDEA software for forensic audits. He emphasizes practical skills like Excel applications and data visualization tools for fraud investigation. Awards include the 2020 Teaching and Learning Scholarship Award (JMU College of Business) and the 2020 Best Teaching Innovation Award from the American Accounting Association's Forensic Accounting Section. His articles highlight trends in mitigating cyberattacks, enhancing student engagement through active learning, and bridging theory-practice gaps in accounting education. Prior to academia, Hayes held leadership roles in accounting at McDonald's franchises and CPA firms. He advises on academic integrity, software proficiency, and fraud prevention strategies, contributing to both JMU's curriculum and professional accounting education.

Vishnu MohanView profile

Professor

• Health Informatics
• Clinical Informatics
• Electronic Health Records (EHR)
• +4 more

Dr. Vishnu Mohan is a Professor and Vice-Chair for Education in the Department of Medical Informatics and Clinical Epidemiology (DMICE) at Oregon Health & Science University (OHSU). He holds dual appointments in DMICE and General Internal Medicine, with expertise spanning clinical informatics, medical education, and patient safety. Dr. Mohan directs OHSU's clinical informatics fellowship program and the DMICE graduate program, offering advanced training in Health and Clinical Informatics (HCIN) and Bioinformatics and Computational Biomedicine (BCB). His leadership roles include overseeing curricula development supported by major grants from the Office of the National Coordinator for Health IT (ONC). Education: Dr. Mohan completed his medical degree, residency in internal medicine, and informatics training at OHSU. He earned a graduate certificate and master’s in biomedical informatics from DMICE. His career transitioned from clinical practice at Legacy Health to full-time academic faculty in informatics. Research Interests: Focus areas include clinician decision-making, EHR usability, patient safety, and simulation-based training. He co-developed ONC’s SAFER guides and pioneered eye-tracking studies to analyze EHR interactions. Current projects explore medical scribe workflow impacts, EHR-related burnout reduction, and interprofessional ICU rounding strategies. Publications Trends: Over 50 peer-reviewed articles span EHR design, clinical decision support, simulation research, and informatics education. Recent work addresses scribe ethics, pandemic-era clinician retraining, and latent safety issues in EHR workflows. Key Awards: Excellence in Education (2022), Dean L McGinty Teaching Award, Best Outpatient Faculty Award Grants: Major contributor to ONC’s national HIT workforce training initiative Labs/Teams: Collaborates with OHSU’s Simulation Center and the POET team (led by Joan Ash) on EHR safety Advising & Mentoring: Supervises graduate students in informatics programs and precepts residents in internal medicine. Known for innovative teaching in clinical informatics graduate courses like BMI 512 and 560.

• Computer Science
• Construction Management
• Data Science
• +5 more

Kay Rogage is an Assistant Professor in the Computer and Information Sciences Department at Northumbria University. Their research integrates computer science, construction management, and sustainability, focusing on BIM automation, digital twins, cybersecurity for smart buildings, and sustainable infrastructure. Rogage holds a PhD in Computing Science (2013), MA in Media Studies (2007), and BSc in Computing Science (2001). Education: PhD in Computing Science, Awarded: 27 Dec 2013 MA in Media Studies, Awarded: 1 Sept 2007 BSc in Computing Science, Awarded: 20 Jun 2001 Research Interests: Explores AI-driven solutions for construction challenges, including automated BIM data generation, carbon classification in materials, digital twin applications, and smart building security. Recent work emphasizes IoT cybersecurity and heritage-led immersive experiences. Key Projects: Developed a digital design management platform for construction collaboration (2019-2021) Co-led research on decarbonizing construction equipment and net-zero strategies Advanced malware prevention in smart building IoT using blockchain-federated learning Awards: Implementing Information and Communication Technology Award (2018) Advising & Grants: Supervised 3 thesis projects, including A.A. Abdulkadir's work on machine learning in BIM. Co-Investigator on Innovate UK-funded DDM project (2019-2021), developing decision support platforms for construction productivity. Labs/Teams: Active in cross-disciplinary teams applying AI to construction forensics and sustainability, with collaborations in Europe and the UK.

• Human-Computer Interaction
• Wearable Technology
• Mobile Computing
• +6 more

Dr. Christian Winkler is a researcher in Human-Computer Interaction (HCI) at the University of Ulm's Department of Human-Computer Interaction. He focuses on wearable technologies, mobile VR systems, and innovative projection-based interfaces. His work emphasizes secure mobile interactions, context-aware pervasive systems, and nomadic computing solutions. Education: B.Sc. Media Informatics & Design (2007), Bielefeld University M.Sc. Applied Computer Science - Systems Engineering (2010), University of Duisburg-Essen PhD in Computer Science (2016), University of Ulm Research Interests: Wearable interfaces, mobile interaction design, secure authentication systems, and augmented reality applications. Projects include PocketThumb (wearable eyewear control), FaceTouch (VR HMD touch interaction), and Glass Unlock (privacy-preserving smartphone unlocking). Key Publications: Recent works focus on spatial interaction in moving vehicles (CHI 2025), cursorless pointing techniques (2018), and wearable dual-sided touch interfaces (IMWUT 2017). His 2014 AMP-D project received an Honorable Mention at CHI. Awards: Best Note Award at ITS 2013 (Penbook project) CHI 2014 Honorable Mention for Ambient Mobile Pervasive Display Teaching & Advising: Supervised over 15 student theses on topics like projector phones, hospital workflows, and augmented reality. Taught courses in Pervasive Computing and Mobile HCI at University of Ulm. Labs & Teams: Core contributor to the HCI Group, exploring future interaction paradigms through projects like Hover Pad (self-actuated displays) and UbiBeam (home projector systems). Active in program committees for CHI and Mobile HCI conferences.

• Wireless Networks
• Cybersecurity
• IoT and Sensor Networks
• +5 more

Pierpaolo Loreti is an Adjunct Professor at the Department of Electronic Engineering and a Researcher at the University of Rome Tor Vergata. He holds a Ph.D. in Telecommunications and Microelectronics (2002) and a Degree in Electronic Engineering (1998), both from University of Rome Tor Vergata. His research focuses on wireless/mobile networks, framework design, analytic modeling, and performance evaluation through simulation and test-bedding. He has led projects on IoT, cybersecurity (e.g., medical device security, satellite networks), blockchain in healthcare, and wildlife tracking systems for endangered species like the Galápagos pink iguana. He collaborates with CNIT and coordinates initiatives in distributed computing, edge AI, and federated testbeds. Education: Ph.D. in Telecommunications and Microelectronics, University of Rome Tor Vergata, 2002 Electronic Engineering Degree (cum laude), University of Rome Tor Vergata, 1998 Research Interests: Wireless networks, IoT sensor systems, cybersecurity for healthcare and satellite infrastructure, blockchain applications in energy grids, and in-network machine learning. His work addresses challenges in privacy preservation, resource-sharing protocols, and energy-efficient designs for critical environments like wildlife monitoring and smart grids. Notable Projects: Developed miniaturized tracking systems for Galápagos pink iguanas Designed cybersecurity frameworks for medical devices and satellite networks Advanced eBPF program composition tools (HIKe/eCLAT) Co-led OpenSatRange and Cyber Range initiatives for space system training Awards: None explicitly mentioned in texts. Advising/Grants: Coordinated European/national projects since 1998 Supervised multiple research initiatives in IoT, blockchain, and network security Labs/Teams: Active member of Netgroup and collaborates with CNIT on interdisciplinary projects.