Find Academic Supervisors

Thomas W BartensteinView profile

Lecturer

• Programming Languages
• Type Theory
• Stream Programming
• +4 more

Thomas W Bartenstein is a Lecturer in the School of Computing at Binghamton University. He transitioned to academia after a 30-year career as a programmer and architect at IBM and Cadence Design Inc., gaining expertise in software development, digital engineering, and computer architecture. He holds a PhD in Computer Science from Binghamton University (2017) and a mathematics degree from Swarthmore College (1979). Education: B.A. in Mathematics, Swarthmore College, 1979 PhD in Computer Science, Binghamton University, 2017 Research Interests: Focuses on foundational areas like programming languages and type theory, with practical applications in stream programming and educational software. Explores computer architecture and operating systems, leveraging his industry experience in microprocessor design and testing. Integrates theoretical computer science with real-world engineering challenges. Advising & Grants: No specific advising or grants listed in available information. Labs/Teams: No formal lab or team affiliations explicitly mentioned.

• AI in Education
• Data Science
• CyberSecurity
• +3 more

Dr. Joel Weymouth is a Lecturer in the Department of Information Science & Systems at Morgan State University's Graves School of Business. He holds a D.Sc. in Information Technology from Towson University (2022), an MS in Computer Information Science from Boston University (2015), and a bachelor's degree in Computer Science from Thomas Edison State University. His research focuses on AI in education, data science, cybersecurity, and bare machine computing. He has extensive industry experience in banking, retail, manufacturing, engineering, and insurance, including pioneering e-commerce and fraud detection systems. Dr. Weymouth's academic contributions emphasize modernizing computer science education through innovative tools like bare machine computing for teaching system internals. His work bridges educational theory and industry practice, addressing challenges in curriculum relevance and student engagement. Recent research highlights include exploring the obsolescence of computing systems, leveraging video games in education, and remote collaboration methods in STEM. He has published widely on topics such as educational tool design, system internals pedagogy, and legacy system adaptation. While no formal advising relationships are listed, his publications often involve collaborative teams of researchers. His expertise in both academia and industry positions him to inform practical computing education strategies.

Barbara MarinoView profile

Associate Professor

• Electrical Engineering
• Computer Engineering
• Image Processing
• +5 more

Dr. Barbara Marino is an Associate Professor in the Department of Electrical and Computer Engineering at Loyola Marymount University (LMU), affiliated with the Frank R. Seaver College of Science and Engineering. She emphasizes interdisciplinary approaches, combining engineering with fields like art and creativity. Her teaching spans courses such as 'Introduction to Digital Systems,' 'Microprocessors and Microcontrollers,' and 'Computer Architecture.' Education: MSEE and Ph.D. in Electrical Engineering from the University of Notre Dame BSEE in Electrical and Computer Engineering from Marquette University Research interests include enhancing degraded image data and innovative applications of engineering systems, exemplified by collaborative projects like the Acrobatic Acceleration Project (a shoe tracking circus performer movements to generate digital art). She advocates for creativity in engineering, stressing problem-solving through practical applications. Professional affiliations include the American Society of Engineering Education (ASEE) and her role as faculty moderator for LMU's Society of Women Engineers (SWE) branch. Marino encourages students to explore interdisciplinary opportunities and engage with campus communities beyond academics.

Miladin StefanovićView profile

Professor

• Production Engineering
• Industrial Engineering
• Industry 4.0/5.0
• +7 more

Miladin Stefanović is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac. His academic role includes research and teaching in production engineering, industrial systems, and advanced manufacturing technologies. He leads initiatives in Industry 4.0/5.0 integration, quality management systems, and smart manufacturing solutions. His research focuses on applying digital technologies like machine learning, computer vision, and IoT for optimizing industrial processes. Notable projects include robotic systems for food processing, OPC UA integration in automation, and cloud-based quality management frameworks. He emphasizes the transition from Quality 4.0 to 5.0, emphasizing human-centric manufacturing advancements. Stefanović has contributed to over 50 peer-reviewed publications since 2014, with recent work addressing real-time defect detection, smart quality control applications, and organizational resilience post-pandemic. His work bridges theoretical advancements with practical implementations in SMEs and public sector organizations. He has been actively involved in educational reforms, developing didactic tools for Industry 4.0 training and prototyping microprocessor-based learning systems. His lab focuses on edge computing solutions for manufacturing efficiency and sustainable resource allocation strategies.

Julien CordryView profile

Senior Lecturer

• Mobile and ubiquitous computing
• Embedded systems
• Security
• +3 more

Dr. Julien Cordry is a Senior Lecturer in the School of Computing at the University of Teesside, affiliated with the Department of Computing & Games and the Centre for Digital Innovation. He holds a PhD from CNAM in Paris (2009), focusing on smart card performance measurement. His research spans mobile and ubiquitous computing, embedded systems, cybersecurity, and formal methods. Education: PhD in Computer Science, CNAM, Paris (2009) Research Interests: Mobile and ubiquitous computing Security protocols and password policies Embedded systems performance optimization Virtual reality applications in healthcare education Research Trends: Focus on cybersecurity, including password composition policies and privacy-preserving techniques Development of mobile health applications for posture and pain monitoring Pioneering work on Java Card benchmarking tools and embedded systems evaluation Collaborations: Engages in interdisciplinary projects involving health informatics, game development, and neurotechnology through partnerships with institutions like the European Journal of Integrative Medicine and ACM. Labs/Teams: Active in the Centre for Digital Innovation, collaborating on projects blending technology with real-world applications in education, healthcare, and gaming.

Hemant PurohitView profile

Assistant Professor

• Model-Based Engineering
• Digital Communication
• Mobile Communication
• +3 more

Dr. Hemant Purohit is an Assistant Professor and Program Chair (Electrical and Computer Engineering) at the Florida Institute of Technology , affiliated with the College of Engineering and Science and the Department of Electrical Engineering and Computer Science . His expertise spans Model-Based Engineering, Mobile Communication, Digital Communication, and Microprocessors . He holds IEEE Senior Membership and active roles in IEEE Circuits and Systems Society, IEEE Communications Society, IEEE Systems Council, and IEEE Council on RFID. Dr. Purohit has over 19 years of teaching experience with students from diverse nationalities. He received the 2024 Faculty Excellence Award for Teaching at Florida Tech and the Best Teacher Award (three times) at JIET Jodhpur. His research focuses on optimizing communication networks, including Data Interleaving Techniques for resilient systems, RFID system optimization, and pandemic impact analysis on mobile networks. Notable contributions include work on Model-Based Systems Engineering (MBSE) for contingency planning in cellular networks, autonomous systems assurance , and genetic adaptation in fowl under climatic stress . His publications address challenges in wireless communication, network security, and environmental resilience. Grants and collaborations are not explicitly detailed in the text, but his active IEEE memberships suggest involvement in industry-academia partnerships. No lab or team affiliations are specified in the provided data.

Mariusz JakubowskiView profile

Assistant Professor

• Digital signal processing
• Embedded systems
• Wireless technologies

Dr. Mariusz Jakubowski is an Assistant Professor at Vistula University's Faculty of Computer Science, Graphics and Architecture. He holds a Ph.D. in Computer Science (with distinction) from the Faculty of Electronics and Information Technology, Warsaw University of Technology (2012), focusing on hardware-based motion estimation algorithms for video data compression. His research interests include digital signal processing, embedded systems, and wireless technologies. He has authored multiple articles in international conferences and Philadelphia-listed journals. Education: Ph.D. in Computer Science, Warsaw University of Technology (2012) Professional Experience: 2002–2008: Researcher at Industrial Telecommunications Institute (PIT-RADWAR), designing microprocessor systems for military radar control/diagnostics. 2016–Present: Employed at the Integrated Circuits and Electronic Systems Design Department, Institute of Microelectronics and Photonics. 2013–Present: Assistant Professor at Vistula University, teaching Electronics for IT Specialists, Digital Technology, Computer System Architecture, and Embedded Systems. Awards: Recipient of the First Degree Team Award from Warsaw University of Technology's Rector (2012–2013). Projects: Involved in EU-cofunded projects at Vistula University. His work bridges hardware design, signal processing, and embedded systems applications in both academic and defense sectors.

Visvesh S SatheView profile

Associate Professor

• Energy-Efficient Computing
• Implantable Electronics
• Power Management Systems
• +5 more

Visvesh S. Sathe is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. Previously, he served as Associate Professor at the University of Washington (2013-2022) and held roles at AMD (2007-2013), where he contributed to energy-efficient microprocessor design. His research focuses on energy-efficient computing, implantable electronics, and closed-loop neural interfaces. He leads the Processing Systems Lab (PSyLab), exploring computational techniques for hardware optimization in digital and mixed-signal systems. Education: B.Tech from IIT Bombay; M.S. and Ph.D. from the University of Michigan, Ann Arbor. Research Interests: Energy-efficient IC design, power management architectures, bi-directional neural interfaces, adaptive baseband processing, and SoC optimization. His work emphasizes run-time control of clocking, voltage regulation, and thermal management. Key Awards: NSF CAREER Award (2019), Intel Outstanding Researcher Award (2021), and IEEE Distinguished Lecturer (2021-2022). Notable contributions include the first resonant-clocked production processor and adaptive clocking for supply droop mitigation. Advisees/Grants: While specific grant details aren't provided, his lab’s work is funded by NSF and industry partnerships. His research spans from circuit-level innovations to system-level integration, with applications in biomedical and high-performance computing. Labs/Teams: PSyLab at Georgia Tech drives interdisciplinary projects in energy-efficient systems and neural interfaces, collaborating with industry and academic partners globally.

• Language-based Security
• Compilers
• Formal Verification
• +4 more

Letterio Galletta is an Assistant Professor of Computer Science at IMT School for Advanced Studies Lucca, within the SySMA research unit. Previously, he held a postdoctoral researcher position at the University of Pisa's Department of Computer Science and earned his Ph.D. in Computer Science from the University of Pisa in 2014. His research focuses on language-based security, leveraging programming languages, compilers, and formal verification to address security challenges in adaptive software, IoT, firewalls, and blockchain technologies. Key research areas include secure compilation, access control policy analysis, smart contract formal models, and static analysis techniques. His work bridges theoretical foundations with practical applications, such as securing satellite communication systems (IRIS2) and enhancing firewall policy enforcement. Publications highlight contributions to blockchain transaction parallelism, IoT security metrics, and formal methods for SELinux configurations. He actively contributes to tools like FWS (Firewall Synthesizer) and VeriOSS for bug bounty protocols. His research emphasizes interdisciplinary approaches, combining cybersecurity with distributed systems and embedded computing.

Preethi PreethichandraView profile

Professor

• Biomedical Engineering
• Sensor Development
• Nanotechnology
• +5 more

Preethi Preethichandra is Deputy Dean (Research) at CQUniversity's School of Engineering and Technology, specializing in Electrical Engineering. She holds a PhD and is a Senior Member of IEEE. Her roles include Discipline Leader for Electrical Engineering and Unit Coordinator for courses like Mechatronics Systems Design and Embedded Systems. She is actively involved in research supervision across Biomedical Engineering, Electrical Engineering, and Sensors. Education: BSc.Eng, MEng, MEBM, PhD Research Interests: Biomedical instrumentation, sensor development, nanotechnology, exoskeleton systems, structural health monitoring, and wireless sensor networks. Her work combines nanomaterials with biomedical applications and explores robotics for environmental monitoring. Publications: Over 60 peer-reviewed articles in journals like IEEE Sensors and Sensors (Basel), focusing on exoskeletons, smart sensors, and electrochemical biosensors. Recent work addresses agricultural exoskeletons and structural health monitoring using smart sensors. Labs/Teams: Leads research groups in mechatronics, biomedical engineering, and sensor networks. Involved in interdisciplinary projects on environmental robotics and asset management.

William N. SumnerView profile

Associate Professor

• Automated Debugging
• Concurrency & Parallelism
• Program Analysis & Transformation
• +3 more

William N. Sumner is an Associate Professor and Associate Director, Academic and Administration in the School of Computing Science at Simon Fraser University. He holds a Ph.D. in Computer Science from Purdue University (2013) and a B.Sc. in Computer Science from Hope College (2005). His research focuses on automated debugging tools, concurrency, parallelism, program analysis, and software quality. He teaches courses such as Software Development Methods, Software Testing, and Automated Software Analysis. Sumner actively recruits graduate and undergraduate students for research in improving software development processes through automation. His work emphasizes reducing repetitive tasks in software development using techniques like test case reduction and program analysis. Education: Ph.D., Computer Science, Purdue University, 2013 B.Sc., Computer Science, Hope College, 2005 Research Interests: Sumner’s research addresses challenges in software development automation, including automated debugging, test suite assessment, and program hardening. He develops tools like Pardis to optimize test case reduction and improve software reliability. His work intersects with concurrency, parallelism, and program transformation to enhance developer productivity and software quality. Recent Contributions: Recent publications include advancements in type batched program reduction (2023) and leveraging models for test case reduction in software repositories (2021). His Pardis framework (2019) improves test case reduction efficiency by addressing priority inversion in structured inputs. Teaching & Engagement: Sumner teaches courses such as CMPT 373 (Software Development Methods), CMPT 473 (Software Testing), and CMPT 479 (Automated Software Analysis). He emphasizes hands-on projects, such as the Geotagged Meeting Planner in CMPT 276, focusing on teamwork, agile methodologies, and software engineering best practices.

Rohit DuaView profile

Associate Professor

• Smart Embedded Sensing Systems
• Artificial Neural Networks
• Optoelectronic Sensors
• +3 more

Dr. Rohit Dua is an Associate Teaching Professor at Missouri University of Science and Technology (Missouri S&T), where he teaches in the Cooperative Engineering Program with Missouri State University. He holds a PhD and MS in Electrical Engineering from Missouri S&T and a BE in Electronics & Telecommunications from the University of Pune, India. Previously, he served as an Assistant Professor at New York Institute of Technology. His office is located at Missouri State University’s Springfield campus. Research Focus: Dr. Dua specializes in Smart Embedded Sensing Systems, Artificial Neural Networks, Optoelectronic Sensors, and their applications in biomedical/energy engineering. He actively integrates engineering education innovation into his research, developing experiential learning tools for K-12 and undergraduate students. Awards & Honors: 2023 ASEE Midwest Section Outstanding Service Award 2015 ASEE Zone III Conference: 1st Place Student Poster 2014 Missouri S&T Experiential Learning Award 2014 ASEE Midwest Section: 3rd Place Undergraduate Poster 2007 NYIT Faculty Scholars Award Educational Initiatives: He leads experiential projects including the Embedded Systems Club, FPGA-based synthesizers, K-12 logic laboratories, and microprocessor design tools. He received grants for student projects (e.g., OURE grants) and developed courses like Fun With Electronics . He frequently chairs ASEE Midwest Conference programs.

Steve KerrisonView profile

Senior Lecturer

• Cybersecurity
• Internet of Things (IoT)
• Public Key Infrastructure (PKI)
• +4 more

Dr. Steve Kerrison is a Senior Lecturer in Cybersecurity at James Cook University (Singapore Campus). He holds a PhD and MEng in Computer Science from the University of Bristol, and certifications including CISSP and CCSP. His expertise spans IoT cybersecurity, embedded systems, and energy-efficient computing. Education: PhD in Computer Science, University of Bristol (2010-2015) MEng in Computer Systems Engineering, University of Bristol (2005-2009) CISSP and CCSP certifications (ISC)² Research Interests: Focuses on IoT cybersecurity, PKI for IoT, energy-efficient computing, and Industry 4.0. Collaborations include EU-funded projects (ENTRA, ICT-Energy) and Singapore’s National Cybersecurity R&D Program. Teaching: Specializes in open-source tools and community-driven cybersecurity education. Formerly a Senior Research Associate at Bristol and CTO at MICROSEC, a Singapore-based IoT security startup.

• Telecommunications Engineering
• Electromagnetic Field Theory
• Wireless Sensor Networks
• +3 more

Dr. Jarosław Emilianowicz holds a PhD in Electrical Engineering and serves as a researcher at the Department of Telecommunications and Teleinformatics within Wrocław University of Science and Technology's Faculty of Information and Communication Technology. Doctoral degree in Electrical Engineering Specializes in electromagnetic field applications and wireless communication systems Active in LPWAN technologies and IoT implementations His research spans electromagnetic field shaping, wireless sensor networks, and real-time location systems. Recent work focuses on LoRaWAN-based environmental monitoring in large buildings, demonstrating practical IoT applications for smart infrastructure. Publications show expertise in microwave techniques, WLAN security analysis, and embedded communication systems. Key technical interests include signal processing algorithms, secure wireless transmission mechanisms, and microprocessor-based measurement devices. Active in conference proceedings and book chapters related to telecommunications applications, with contributions appearing in IEEE publications and Polish technical monographs.

• Telecommunications Engineering
• Electronic Systems Design
• Microprocessor Architecture
• +3 more

Pedro José Pons Bonafé is an Associate Professor at the University of the Balearic Islands in the School of Industrial Engineering and Construction, Department of Electronic Technology. He has been teaching at UIB since 2001 while simultaneously running his own engineering company since 2000. His research interests focus on Telecommunications Engineering, Electronic Systems Design, Microprocessor Architecture, Telecommunications Infrastructure, Smart City Technologies, and Digital Tourism. His teaching portfolio includes Componentes y Sistemas Electrónicos (Electronic Components and Systems), Instalaciones de Telecomunicación (Telecommunications Installations), and Introducción a la Electrónica (Introduction to Electronics) across multiple engineering programs. His notable publications include a 2010 IEEC article on microprocessor course design and the 2013 co-authored book 'Telecommunications Installations.' His academic work shows consistent focus on practical telecommunications infrastructure and engineering education methodologies. Professional activities include coordinating the UIB Summer Course on Common Telecommunications Infrastructure Projects (2007-2008), teaching at the UIB Summer University on analog signal shutdown (2009), and serving as coordinator for the National Congress on Digital Tourism 'Smart Destination' (2013-2015). Currently, he is a member of the technical committee for the Ibiza Smart Island project under the Consell Insular d'Eivissa. He is affiliated with the Laboratory of the Architectural Constructions group at Mateu Orfila i Rotger (Physics). His extensive practical experience includes over 4,000 telecommunications projects since 1997.