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Shantia YarahmadianView profile

Associate Professor

• Mathematical Biology
• Partial Differential Equations
• Alzheimer's Disease Modeling
• +2 more

Shantia Yarahmadian is an Associate Professor of Mathematics at Mississippi State University. He holds a Ph.D. in Applied Mathematics from Indiana University and conducts interdisciplinary research combining mathematics with biology and engineering. His primary research focuses on: Mathematical modeling of Alzheimer's disease progression Cancer treatment optimization for radiotherapy Stochastic processes in biological systems Wavelet-based signal processing methods Recent work includes computational models for amyloid-beta aggregation in Alzheimer's disease, optimization frameworks for radiation therapy, and novel wavelet algorithms for signal reconstruction. His laboratory develops mathematical tools to address complex biological problems and engineering challenges. Yarahmadian maintains active collaborations across engineering, computer science, and physics departments. His research portfolio includes stochastic modeling of neurodegenerative processes, quantum-resistant cryptography, and computational methods for partial differential equations.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +5 more

Hisham Abou-Grad is a Senior Lecturer at the University of East London, affiliated with the Architecture, Computing & Engineering research institute. His work focuses on interdisciplinary applications of artificial intelligence, machine learning, and data science across finance, healthcare, agriculture, and cybersecurity. He has collaborated on projects involving AI-driven stock prediction, blockchain-based solutions for food security, and computer vision systems for vehicle safety. Key research interests include neural networks, hybrid machine learning models, and the ethical implications of AI in decision-making systems. His publications span conferences such as the International Conference on Mechatronics and Smart Systems and the Human Interaction & Emerging Technologies conference. He has also contributed to frameworks addressing real-world challenges like crop recommendation systems and remote patient monitoring for physiotherapy support. Abou-Grad has co-authored over 10 peer-reviewed papers between 2019 and 2025, reflecting a strong focus on practical AI applications with societal impact. Notable collaborations include work with institutions like Near East University (Turkey) and Sebha University. His research emphasizes bridging technological innovation with domain-specific needs in finance, healthcare, and environmental sustainability.

Margaret SchedelView profile

Professor

• Interactive Media
• Sound Art
• Music Technology
• +4 more

Margaret Schedel is a Professor in the Department of Art at Stony Brook University, with an affiliation in the Department of Music. Her work bridges classical music training, sound art, and computational science, focusing on interdisciplinary projects that integrate technology and the arts. She leads the Making Sense of Data Workgroup at the Institute of Advanced Computational Science and co-directs computer music initiatives. Her research spans interactive multimedia opera, virtual reality experiences, sound art installations, and innovative interfaces for music creation. Notable projects include The King Listens , a telematic opera, and RhumbLine , an exploration of biomimetic musical robots. She also investigates sonification techniques for healthcare applications, such as gait rehabilitation for Parkinson’s patients. Her recent articles highlight trends in inclusive design for music technology, sonification of scientific data, and reimagining traditional instruments through feminist perspectives. She advocates for accessibility in hackerspaces and gender equity in STEAM fields. Her work often merges artistic expression with cutting-edge computational methods, reflecting her dual focus on creativity and scientific inquiry. Margaret’s contributions extend to education through courses on electronic music, sound art, and interdisciplinary collaboration. She has pioneered pedagogical frameworks for notation in digital performance and contributed to the development of open-source tools like softVNS for video processing.

Hemang SubramanianView profile

Assistant Professor

• Blockchain
• Cryptocurrency
• Cybersecurity
• +2 more

Hemang Subramanian is an Assistant Professor in the Department of Information Systems and Business Analytics at Florida International University's College of Business. His expertise focuses on blockchain technology, cryptocurrency systems, and cybersecurity solutions. His research examines decentralized applications, digital asset security, and predictive analytics for financial technologies. Subramanian's research explores blockchain implementations across healthcare, finance, and digital marketplaces. Key areas include secure patient data exchange, cryptocurrency market analysis, and decentralized content platforms. His work frequently addresses practical implementations through smart contracts and tokenization frameworks. His recent publications demonstrate a consistent focus on enhancing blockchain security protocols and developing analytical tools for cryptocurrency markets. Research consistently incorporates design science approaches to solve real-world data privacy and system decentralization challenges.

Olamide JogunolaView profile

Senior Lecturer

• Cybersecurity
• Blockchain Technology
• Peer-to-Peer Energy Trading
• +2 more

Dr. Olamide Jogunola is a Senior Lecturer in Cyber Security in the Department of Computing and Mathematics at Manchester Metropolitan University. She holds a B.Eng. in Electrical Engineering from University of Ilorin, M.Sc. in Networking and Data Communication from Kingston University, and Ph.D. in Electrical Engineering from Manchester Metropolitan University. Her research focuses on cybersecurity for distributed critical infrastructures like smart grids. Research Focus: Investigates blockchain and AI applications for privacy and uncertainty modeling in distributed systems. Current projects examine secure smart contracts, federated learning for intrusion detection, and cyber resilience in IoT-enabled infrastructures. Grant Leadership: Principal Investigator for multiple projects including the £228K 'AI-enabled smart EV charging infrastructure' (Innovate UK/KTP) and £5K EPSRC/SuperGen Network project. Secured over £500K in research funding across 8 projects including EU Horizon 2020 and DFID initiatives. Teaching: Leads undergraduate and postgraduate units in Networks, Computer Networks and Security, and HPC & Big Data. Supervises PhD research on blockchain applications, AI security, and peer-to-peer energy trading.

Muhammad A B FayyazView profile

Lecturer

• Applied Artificial Intelligence
• Computer Vision
• Data Analytics
• +3 more

Dr. Muhammad A B Fayyaz is a Lecturer in Applied AI and Data Analytics at Manchester Metropolitan University Business School. As the youngest Pakistani PhD holder (awarded at age 25), he possesses extensive technical expertise in computer vision, machine learning, and business analytics. He leads units in Data Analytics and Decision Support Systems while supervising postgraduate research in applied AI domains. His interdisciplinary research encompasses cybersecurity applications (encrypted traffic analysis, blockchain security), renewable energy optimization (PV system control), and intelligent systems design (humanoid personality assessment, building automation). Fayyaz maintains active industry collaborations through national and international projects, translating technical innovations into business solutions. Recent publications demonstrate Fayyaz's versatility across AI subfields, with consistent focus on explainable methodologies and real-world applications. His work integrates theoretical advances with practical implementations in energy, transportation, and cybersecurity domains.

Nathaniel TkaczView profile

Professor

• Digital Media Studies
• Cultural Theory of Technology
• Data Governance
• +4 more

Nathaniel Tkacz is a Professor of Digital Media and Culture at Goldsmiths, University of London, serving as Associate Co-Head of the Media, Communications and Cultural Studies Department. He holds a PhD in Culture and Communication from the University of Melbourne (2012). His research critically examines how digital technologies shape culture and society, focusing on apps, data interfaces, and collaborative platforms like Wikipedia. Tkacz’s work blends theoretical inquiry with creative methodologies, exploring topics such as dashboarding practices, financial technologies, and sustainability data innovations. Key research areas include the socio-political dimensions of digital media, open collaborative systems, and the role of data in governance. His methodologies involve ethnographic approaches like 'data diaries' and multi-situated analyses of apps. Tkacz is a co-author of foundational works such as *Wikipedia and the Politics of Openness* (2015) and *Being with Data: The Dashboarding of Everyday Life* (2022). He has led projects on platform migration, pandemic app ecosystems, and equitable knowledge production in Australia. Teaching commitments include leading the MA Digital Media program and supervising students in areas like digital commons, social media alternatives, and digital finance. Tkacz actively engages with interdisciplinary collaborations, notably the Waterproofing Data initiative for climate resilience. His research has been published in journals such as *Global Environmental Change*, *Current Opinion in Environmental Sustainability*, and *Distinktion: Journal of Social Theory*.

Marina MongielloView profile

Associate Professor

• Blockchain Technology
• IoT Systems
• Software Engineering
• +3 more

Marina Mongiello is Associate Professor at Polytechnic University of Bari focusing on blockchain applications, IoT security, and distributed software systems. Her work integrates formal methods with practical solutions for cybersecurity challenges. Research Focus: Develops secure blockchain architectures for supply chain traceability, IoT security frameworks, and intrusion detection systems combining formal modeling with machine learning approaches. Technical Innovations: Designs hybrid systems using Petri nets and LSTM networks for enterprise security, and biometric-based cryptographic solutions for blockchain platforms. Application Domains: Implements traceability solutions for agri-food supply chains, secure data transmission frameworks, and decentralized alternatives to cloud computing infrastructures.

Kirk FiedlerView profile

Associate Professor

• Technology Innovation
• Knowledge Management
• Privacy
• +7 more

Kirk Fiedler is an Associate Professor at the University of South Carolina, holding dual affiliations in the Department of Computer Science & Engineering at the Molinaroli College of Engineering and Computing and the Moore School of Business. He holds a Ph.D. from the University of Pittsburgh (1991), an M.S. from the University of Louisville (1988), and a B.A. from Wittenberg University (1982). His research focuses on technology innovation, knowledge management, privacy, ethics, and risk, with interdisciplinary applications across engineering, business, and healthcare. Dr. Fiedler’s work bridges technical and organizational domains, addressing challenges such as blockchain adoption in auditing, healthcare IT systems, and educational technology. His publications span topics including AI in pedagogy, RFID implementation in services, and managerial accounting frameworks. His contributions emphasize practical applications of emerging technologies and ethical considerations in innovation. His research trends reflect a focus on technology’s societal impacts, with recent articles exploring dialogic teaching methods in AI education and blockchain’s role beyond cryptocurrency. Earlier work includes studies on business process reengineering, healthcare systems, and technology diffusion models. Dr. Fiedler’s academic service includes teaching in blended MBA programs and contributing to interdisciplinary initiatives at the University of South Carolina. He is a member of the Molinaroli College and Moore School of Business, fostering collaborations between engineering, business, and healthcare disciplines.

T. RavichandranView profile

Professor

• Digital Strategy
• Digital Platforms
• Supply Chain Management
• +7 more

T. Ravichandran is a Professor at Rensselaer Polytechnic Institute's School of Engineering and serves as an associated faculty member in the School of Science's IT program. He teaches graduate and doctoral courses at RPI and periodically in top Asian and European business schools, integrating a global perspective into his pedagogy. His research explores digital strategies, supply chain transformations, and IT-driven competitive dynamics. Education: Ph.D. in Industrial and Systems Engineering from Southern Illinois University, PG Diploma from National Productivity Council, India, B.E. in Production Engineering from University of Madras Research Grants: Funded by NSF (USA) and Ministry of Education (Singapore) Research Focus: Ravichandran investigates how digitization reshapes firms, markets, and industries through lenses like digital platforms, network structures, and outsourcing. His work spans disciplines including Information Systems, Strategic Management, and Technology Management, with methodological diversity from empirical studies to system dynamics models. Editorial Roles: Senior Editor of MIS Quarterly, Department Editor for IEEE Transactions on Engineering Management, Associate Editor for Information Systems Research Scientific Recognition: Recipient of multiple best paper awards across ICIS, HICSS, and the Academy of Management. His 2010 work won dual accolades from AIS and Information Systems Research. Teaching: Courses on Managing Digitization & Transformation and Supply Chain Capstone Labs: Affiliated with the Institute for Data Exploration and Applications (IDEA)

Rafiqul IslamView profile

Associate Professor

• Cybersecurity
• Malware Analysis and Classification
• Authentication Systems
• +5 more

Dr. Rafiqul Islam is an Associate Professor in the Department of Computing at Charles Sturt University's School of Computing, Mathematics & Engineering, within the Faculty of Business, Justice and Behavioural Sciences. He specializes in Cybersecurity with a focus on malware analysis, authentication systems, cloud security, IoT security, and privacy in digital environments. He leads the Cybersecurity Research Group and has been recognized nationally/internationally with awards like the 2021 Cyber Security Researcher of the Year Award from AISA. His research has attracted over $7M in external grants, including a $68M Cybersecurity CRC project. Education: PhD (Network Security), MSc (Research), BSc (Hons), PGDip (Learning & Teaching) Leadership: Director of the Cybersecurity Research Team at CSU Publications: Over 200 peer-reviewed articles, emphasizing AI-driven cybersecurity solutions for IoT, cloud, and industrial systems Research interests span adversarial machine learning, ransomware detection, secure agri-food supply chains, and medical data privacy. His work bridges theoretical advancements with real-world applications, such as resilient IoT configurations and threat intelligence frameworks for smart agriculture. Recent articles focus on AI-enhanced cybersecurity for IoT, malware classification systems, and blockchain-based healthcare data protection. He actively collaborates on projects addressing cybersecurity challenges in distributed networks and emerging technologies. Awards: Professional Excellence, Research Excellence, Leadership Award (CSU), Cyber Security CRC contributions Grants: $7M+ secured as Co-PI in collaborative projects His lab focuses on interdisciplinary research, integrating AI, data science, and cybersecurity to address modern digital challenges.

Kurt RohloffView profile

Associate Professor

• Cybersecurity
• Homomorphic Encryption
• Lattice-Based Cryptography
• +5 more

Prof. Kurt Rohloff is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). He serves as the founding director of the NJIT Cybersecurity Research Center, focusing on advanced cryptographic techniques such as homomorphic encryption, lattice-based cryptography, and secure computing. With a background in electrical engineering from the University of Michigan (Ph.D., 2004) and Georgia Tech (B.E., 1999), his career includes prior roles as a DARPA Program Investigator in industry before joining academia. His research emphasizes practical implementations of privacy-preserving technologies, including open-source libraries like PALISADE and OpenFHE , which enable secure computation on encrypted data. Key areas of contribution include FPGA-accelerated homomorphic encryption, proxy re-encryption systems, and applications in healthcare, telecommunications, and distributed computing. He has led workshops such as WAHC (Workshop on Encrypted Computing and Applied Homomorphic Cryptography), fostering interdisciplinary collaboration. Rohloff’s work bridges theoretical cryptography with real-world challenges, addressing scalability, performance optimization, and usability of secure computing frameworks. His innovations target use cases like encrypted genome analysis, privacy-preserving AI, and secure data sharing across distributed networks.

Yang XiaoView profile

Assistant Professor

• Distributed System Security
• Blockchain and Decentralized Systems
• Trusted and Privacy-preserving Computing
• +2 more

Yang Xiao is an Assistant Professor in the Department of Computer Science at the University of Kentucky, part of the Stanley and Karen Pigman College of Engineering, where he has been serving since 2022. His research focuses on security and privacy in distributed and cyber-physical systems, with a particular emphasis on practical applications in blockchain, IoT, and mobile networks. Dr. Xiao holds the following academic degrees: Ph.D. in Computer Engineering, Virginia Polytechnic Institute and State University, 2017–2022 M.S. in Electrical Engineering-Systems, University of Michigan, 2015–2017 B.S.E. in Information Engineering, Shanghai Jiao Tong University, 2010–2014 His research interests are centered around securing modern computing infrastructures. Key areas include: Distributed System Security Blockchain and Decentralized Systems Trusted and Privacy-preserving Computing Mobile Communications and Network Security Cyber-Physical Security Dr. Xiao's work addresses critical challenges in ensuring trust and privacy in emerging technologies, particularly in the context of decentralized applications and resource-constrained devices. Analysis of his recent publications (2022-2025) reveals a consistent focus on blockchain security, privacy-enhancing technologies, and machine learning security. He has made significant contributions to decentralized data markets, verifiable credentials for authentication, and robust defenses against backdoor attacks in federated learning. Additionally, his research extends to spectrum sharing, automotive network security, and real-time system integrity. Scientific Awards: No scientific awards were mentioned in the provided information. Regarding advising and grants, the available information does not specify any current advisees or funded research projects.

Franco RaimondiView profile

Professor

• Software Verification
• Multi-agent Systems
• Formal Methods
• +1 more

Franco Raimondi is Professor of Computer Science at Middlesex University and an Amazon Scholar in the Prime Video Automated Reasoning Group. His research focuses on formal verification methods, multi-agent systems, and security protocols. He leads projects in automated reasoning for distributed systems, including blockchain alternatives and privacy-preserving social platforms (CoSMed). His educational innovations include developing the MIRTO open-source robotics platform for coding instruction and digital twin technologies for scalable computer science education. His work bridges theoretical foundations with industrial applications in security and cloud computing.

Ian MitchellView profile

Associate Professor

• Forensic Computing Analysis
• File Systems Analysis
• Evidence Management
• +8 more

Dr. Ian Mitchell is an Associate Professor in the Department of Computer Science at Middlesex University, leading the Commercial Web Design module. His research focuses on Forensic Computing Analysis, Blockchain Engineering, and IoT security, with contributions to digital evidence preservation and blockchain consensus algorithms. Based at the Hendon Campus, he explores interdisciplinary applications such as blockchain in healthcare and forensic methodologies for modern technologies. Key Research Areas: Forensic Computing & Digital Evidence Blockchain Technology & Applications Social Network Analysis Information Systems Management Mitchell’s work bridges theoretical advancements with practical solutions, including the CAGE consensus algorithm and BMAR blockchain-based healthcare systems. Collaborations can be directed through the department’s contact channels for research partnerships or academic inquiries.