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Bogdan DitView profile

Associate Clinical Professor

• Software Engineering
• Empirical Software Engineering
• Data Mining
• +3 more

Bogdan Dit is a Clinical Associate Professor in the Department of Computer Science at Boise State University. He holds a Ph.D. from The College of William and Mary, an M.S. from Wayne State University, and a B.S. from Babeș-Bolyai University. His research focuses on software engineering, empirical methods, and tool development for tasks like feature location, impact analysis, and traceability. He is affiliated with the SEMERU Research Group and has contributed to projects such as TraceLab Component Library and Impactminer. His work emphasizes reproducible research and developer tools for software maintenance. Education: Ph.D., Computer Science, College of William and Mary (Advisor: Dr. Denys Poshyvanyk) M.S., Computer Science, Wayne State University (Advisor: Dr. Andrian Marcus) B.S., Computer Science, Babeș-Bolyai University Research Interests: Empirical software engineering, feature location, software traceability, genetic algorithms, data fusion, and developer tool development. His work combines empirical studies with tool-based solutions to address challenges in software maintenance and evolution. Key Contributions: Developed TraceLab for reproducible experiments, Impactminer for change impact analysis, and Traceclipse for traceability management. His research often integrates information retrieval and machine learning techniques to enhance software engineering practices. Labs/Teams: Affiliated with the SEMERU Research Group, focusing on software evolution and maintenance.

Shane PanterView profile

Assistant Clinical Professor

• Systems
• Software Engineering
• Cybersecurity
• +3 more

Shane Panter is a Clinical Assistant Professor in the Computer Science department at Boise State University. He has over 10 years of industry experience, including roles in manufacturing ERP/MRP systems and firmware development at Hewlett Packard. His research focuses on systems, software engineering, and cybersecurity in both user and kernel spaces. He brings expertise in firmware management for enterprise hardware and large-scale enterprise systems. Shane's recent work includes advancements in Rust programming for Linux kernel development, package version analysis tools (PVAC), and team-based learning methodologies in systems education. No scientific awards or grants are explicitly mentioned in the provided materials. His teaching and research emphasize practical applications of computer science principles in real-world systems.

Lynn LambertView profile

Associate Professor

• Computer Science Research
• Science Education
• Computer Science Education
• +1 more

Lynn Lambert serves as an Associate Professor in the School of Engineering and Computing at Christopher Newport University (CNU), concurrently holding the roles of Associate Provost of Research and Dean of Graduate Studies. Her academic journey includes a PhD in Computer Science from the University of Delaware, an MS in Computer Science from Shippensburg University of Pennsylvania, and a BA in Latin from Wellesley College. Her research interests focus on Computer Science Education, Science Education, and Computational Linguistics. Recent work emphasizes pedagogical integration of tools like Git into introductory computer science courses. Notable contributions include a 2019 publication in *The Journal of Computing Sciences in Colleges*. She has secured a National Science Foundation (NSF) grant as part of the EPIIC initiative, collaborating with Roberto Flores, Ryan Fisher, and Anton Riedl to develop technology partnerships at primarily undergraduate institutions. Lambert’s professional portfolio reflects her commitment to advancing computational education and research leadership at CNU.

Michael WarnerView profile

Lecturer

• Astronautics
• Applied Physics
• Engineering Education
• +3 more

Michael Warner is a Lecturer of Physics at Colorado Mesa University, teaching freshman physics laboratory courses focused on engineering disciplines. His research expertise lies in astronautics and trajectory optimization, with a focus on computational methods and finite element analysis. He holds a PhD in Aerospace Engineering from Georgia Tech, an MS in Astronautics from George Washington University, and a BAE in Aerospace Engineering from Georgia Tech. His scholarly work includes publications on launch vehicle trajectory optimization, finite element methods, and computational error estimation. Notable contributions address capstone engineering design processes and launch site wind simulations. Warner emphasizes hands-on learning in his courses, fostering student collaboration through experimental setup, data analysis, and report writing. Outside academia, Warner is an avid explorer with extensive travel experience, including visits to all 50 U.S. states, 40 countries, and over 400 national park sites. His recreational interests include hiking, cycling, running, and various ball sports.

Kevin BuffardiView profile

Associate Professor

• Software Engineering
• Computer Science Education
• Unit Testing
• +5 more

Kevin Buffardi is an Associate Professor of Computer Science at California State University, Chico, affiliated with the Data Science Initiative (DSI). His research focuses on software engineering education, collaborative learning, and inclusive computing practices. He designs innovative pedagogical approaches to enhance student engagement and broaden participation in STEM fields. His work emphasizes assessment methodologies for team projects, unit testing practices, and integrating multimedia tools like CodeVid Studio into programming instruction. He has also led initiatives to redesign educational programs for virtual instruction during the pandemic and improve retention through summer bootcamps. Key research themes include fostering entrepreneurship in software engineering courses, evaluating the relevance of programming curricula, and embedding equity-focused strategies in personalized instruction systems. His projects often bridge academic disciplines, such as combining software engineering with entrepreneurship education. Buffardi has collaborated with organizations to develop platforms like Codewit.us, promoting diverse perspectives in coding. His work consistently prioritizes evidence-based practices to address challenges in STEM education, including gender equity and cognitive aspects of software verification.

Markus JochimView profile

Researcher

• Dialectology
• Phonetics
• Tool Development for Phonetic Research
• +3 more

Markus Jochim is a Researcher at the Institut für Phonetik und Sprachverarbeitung (IPS) of Ludwig-Maximilians-Universität München. His primary roles include serving as a Research Assistant on the 'Typology of vowel and consonant quantity in Southern German variety (DFG-DACH)' project and as a Software Developer/Architect for the 'Kommunikationswerkstatt PLUS (BMBF, Lehrerbildung@LMU)' initiative. His research focuses on dialectology, tool development for phonetic research, laboratory phonology, and software engineering, particularly in the context of speech databases and open-source contributions. Jochim holds a Dr. phil. degree and is deeply involved in the development of the EMU Speech Database Management System (EMU-SDMS), with open-source contributions hosted on GitHub. His work bridges theoretical phonetics and applied technology, emphasizing collaborative tools for linguistic research. His research areas include: Quantitative analysis of vowel/consonant length in German dialects Acoustic and perceptual studies of speech production Development of phonetic research software Analysis of language rhythm and phonological contrasts Jochim's recent publications explore topics such as hypoarticulation effects in Bavarian dialects, spectral cues in German varieties, and software tools for speech databases. His work reflects a commitment to advancing both theoretical understanding and practical applications in phonetics.

Kritagya Raj UpadhyayView profile

Assistant Professor

• Cybersecurity
• Blockchain and Smart Contracts
• Artificial Intelligence
• +4 more

Dr. Kritagya Raj Upadhyay is an Assistant Professor in the Department of Computer Science at Middle Tennessee State University (MTSU). Specializing in Blockchain and Smart Contracts , Cybersecurity , Artificial Intelligence , Data Cooperatives , and Metaverse , his research focuses on developing architectures and algorithms that address uncertainty, trust, privacy, and security in emerging technologies. Research Interests: Blockchain for Trusted Artificial Intelligence Smart Contracts Security and Scalability Data Cooperatives for Privacy Protection Metaverse Threat Modeling Fuzzy Logic in Legal Contract Interpretation Recent Publications demonstrate expertise in blockchain applications, metaverse security, and AI integration across diverse domains. His work spans Smart Contract Vulnerability Detection , Legal Contract Automation , and Secure IoT Systems . Scientific Awards : MTSU Data Science Institute Seed Grant ($5,000) - 2024 Best Research Paper Award - IEEE TPS-ISA 2023 Outstanding Ph.D. Student Award - University of North Texas 2023 NSA Innovation Award - 2021 Dr. Upadhyay mentors graduate students like Samir Poudel (Second Best Poster Awardee 2023) and teaches courses including Blockchain and Smart Contracts , Secure Software Systems , and Computer Science I at MTSU.

• Computer Science
• Information Technology
• Marine Conservation Technology
• +3 more

Jason Holdsworth is a Lecturer at James Cook University (JCU), specializing in Digital Technology and Computer Science. He holds a PhD in Computer Science from JCU, with earlier degrees including a BSc (Hons) and a double major BSc in Computer Science from the same institution. His research focuses on applying computer technology to real-world challenges, such as marine conservation through mobile apps and image classification systems for WWF, and improving abalone farming via image segmentation techniques. He is also engaged in educational technology, particularly enhancing adult learner engagement through digital methods. Holdsworth has been recognized with awards including the Advance Queensland Community Digital Champion (2017) and CSIRO STEM Professional (2017). He actively contributes to JCU’s Indigenous Australian Datathon Steering Committee and has advised students on topics like autonomous CNN architecture selection. His work spans healthcare technology (e.g., VR in hemodialysis), embedded systems (C++20 coroutines on microcontrollers), and collaborative learning tools (e.g., academagogy frameworks). Over 41 publications highlight his interdisciplinary research, including studies on asynchronous IoT programming, mobile application performance models, and collaborative emergency management systems. His work often bridges theory and practice, emphasizing sustainable tech solutions for education, healthcare, and environmental conservation.

• Supply Chain Management
• Information Technology
• Logistics
• +2 more

Randy Bradley is a Professor at the Supply Chain Management Institute within the University of Tennessee. His research encompasses supply chain management, information technology integration, and logistics optimization, with applications in healthcare and automotive industries. His primary research interests include supply chain digital transformation, information governance frameworks, healthcare logistics efficiency, technology adoption in operations, and sustainable supply chain strategies. Bradley's recent publications demonstrate a focus on healthcare supply chains, open-source software ecosystems, and racial disparities in oncology. His work frequently combines empirical analysis with practical frameworks for operational improvement. He maintains active research collaborations and contributes to industry discussions through conference presentations and industry partnerships.

Goksel MisirliView profile

Senior Lecturer

• Synthetic Biology
• Systems Biology
• Computational Design
• +7 more

Goksel Misirli is a Senior Lecturer in Computing at the School of Computer Science and Mathematics, Keele University. He holds a PhD in Computing Science from Newcastle University (thesis: 'Data integration strategies for informing computational design in synthetic biology') and a BSc in Control and Computer Engineering. Previously, he worked as a postdoctoral researcher at Newcastle University and as a software engineer at companies like Ericsson. His research focuses on computational design paradigms for synthetic biology, leveraging semantic web technologies, ontologies, and data integration. Key areas include algorithm development, model-driven design automation, and standardization efforts like the Synthetic Biology Open Language (SBOL). He also explores cloud computing applications for distributed computational workflows. He is actively involved in SBOL standard communities and has contributed to versions 3.0 and later. His work emphasizes computational tools for biological system design, such as BioRxToolbox and libSBOLj3. Teaching includes courses on Cloud Computing, Web Technologies, and Communications and Networks. Misirli’s research spans synthetic biology, systems biology, and bioinformatics, with a focus on bridging computing and biological systems. His recent work includes advancements in genetic circuit design, microbiome analysis, and standardized data exchange frameworks.

Maria Luisa Sanchez FerrerView profile

Professor

• Obstetrics
• Gynecology
• Reproductive Health
• +5 more

Maria Luisa Sanchez Ferrer is a Professor at the Faculty of Medicine, Universidad Miguel Hernández de Elche, affiliated with the Department of Surgery, Pediatrics, Obstetrics and Gynecology. Her research focuses on reproductive health, particularly pelvic floor disorders, polycystic ovary syndrome (PCOS), and gynecological pathologies. She leads the 'Gynecology, Obstetrics and Human Reproduction' research group. She earned her PhD in 2005 with a thesis titled Aportaciones al conocimiento de la embriología de la vagina , supervised by Dr. Pedro Acién Álvarez and Dr. Francisco José Sánchez del Campo. Her work spans clinical and experimental studies, including surgical techniques for pelvic organ prolapse, endometriosis, and environmental influences on pregnancy outcomes (e.g., the NELA cohort studies). Key research themes include maternal-fetal medicine, neonatal health, and innovative anatomical training methods using Thiel-embalmed cadavers. She has contributed to understanding polyamine roles in pregnancy, vitamin metabolism, and the microbiome of female reproductive tracts. Her publications emphasize interdisciplinary approaches, linking basic science to clinical practice. Notable projects include randomized trials comparing sacropexy vs. lateral suspension for prolapse repair, studies on caffeine's inverse association with PCOS, and investigations into bisphenol A's epigenetic effects during gestation.

Vladimir MilovanovićView profile

Associate Professor

• Electrical Engineering
• Computer Science
• Signal Processing
• +7 more

Dr. Vladimir Milovanović is an Associate Professor at the Faculty of Engineering, University of Kragujevac, Serbia, holding a position as Chair of the Department of Electrical Engineering and Computer Sciences. His academic career is anchored in interdisciplinary research at the intersection of electrical engineering, computer science, and biomedical applications. His research focuses on hardware design, radar sensor systems, biomedical signal processing, and machine learning applications. Notable areas include CMOS circuit design, FPGA-based implementations, and parameterizable hardware generators for signal processing tasks. He also explores medical imaging analysis using deep learning techniques for conditions like disc hernia diagnosis. Recent work emphasizes radar technology (FMCW transceivers, signal processing architectures), embedded systems (FPGA development, IP core utilization), and high-performance streaming data algorithms. His publications span over two decades, demonstrating expertise in analog/digital circuit design, comparative classifier analysis in biomedical contexts, and hardware-software co-design methodologies. Dr. Milovanović collaborates with industry on energy-efficient MIMO arrays and semiconductor gas sensors. His contributions include open-source HDL models for digital signal processors and comparator circuits optimized for low-power and high-speed applications.

• Computer Science
• Electrical Engineering
• Computer Architecture
• +3 more

Oliver M. Vojinović serves as an Assistant Professor in the Department of Electrical Engineering and Computing at the Faculty of Electronic Engineering, University of Niš. Appointed to his current academic rank in 2017 after serving as an assistant trainee since 2001, he maintains active roles in teaching and research within Serbia's academic framework. His educational foundation includes a Bachelor's degree (2000) and Master's degree (2008), both in Electrical Engineering and Computer Science from the Faculty of Electronic Engineering. These qualifications established his technical expertise in computing systems and electrical engineering disciplines. Dr. Vojinović's research spans Computer Science, Electrical Engineering, and Education Technology, with concentrated efforts in Computer Architecture simulation tools and optimized Signal Processing implementations. His work bridges theoretical computing concepts with practical engineering applications, particularly through development of educational simulation environments like SimArch for computer architecture instruction. Analysis of his publication history reveals consistent contributions to folded FIR filter architectures and computer science education methodologies. The trajectory shows evolving focus from hardware implementation (2002-2004) toward pedagogical applications of computing (2005-2007), demonstrating interdisciplinary integration of engineering principles with educational innovation. Currently engaged in one national and one international research project, he contributes to academic advancement through project-based learning initiatives and TEMPUS mobility programs. His institutional involvement includes participation in faculty quality assurance frameworks and continuous education programs at the University of Niš.

Csaba Zoltán KERTÉSZView profile

Lecturer

• Embedded Systems
• Microcontroller Applications
• Graphical User Interfaces
• +7 more

Csaba Zoltán KERTÉSZ is a Lecturer at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brașov. His research focuses on embedded systems, microcontroller applications, graphical user interfaces, digital signal processing, and real-time operating systems. He has contributed to IoT/M2M communication, wireless sensor networks, and SDR platforms. He has also explored the use of GitHub in collaborative learning and automotive industry-supported curriculum design. Key research interests include: Embedded GUI development frameworks IoT gateway systems using SDR Real-time monitoring and control systems HbbTV architecture performance analysis His recent work (2021-2024) emphasizes: AI-driven programming assessment tools SIMD extension optimization Wireless sensor networks for water distribution Reconfigurable IoT infrastructure Publications span over 15 years, showing sustained contributions in embedded systems, telecommunications, and educational technology. No specific awards mentioned. Labs/Teams: Actively involved in the University's embedded systems and IoT research groups.

Michael HankeView profile

Professor

• Neuroimaging
• Data Management
• Computational Neuroscience
• +2 more

Michael Hanke is Professor at the Institute of Neuroscience and Medicine at Research Center Jülich, leading research in Brain and Behavior (INM-7). His work focuses on neuroimaging, data management, and reproducible research methodologies in neuroscience. Research interests include neuroinformatics, open science initiatives, computational neuroscience, and developing tools for reproducible analysis of large-scale neuroimaging datasets. Specializes in creating infrastructures for FAIR data management. Recent publications focus on research data management (particularly DataLad ecosystem), neuroimaging workflow standardization, reproducible analysis pipelines, and applications in neuroimmunology. Work emphasizes open science practices and collaborative research infrastructure. Developed HeuDiConv for DICOM conversion and contributed to BIDS standards for neuroimaging data organization. Active in community initiatives including OHBM Brainhack and NFDI Neuroscience.