José Manuel Cotos Yáñez is a Professor (University Lecturer) at the University of Santiago de Compostela (USC) and a member of the Computer Graphics and Data Engineering research group. He coordinates and teaches project-management and quality-assurance subjects across several degree programmes, including the BSc in Informatics Engineering, the Double BSc in Informatics Engineering & Mathematics, the MSc in Artificial Intelligence and the MSc in Internet of Things. His teaching portfolio centres on the methodological and managerial dimensions of informatics: from general Informatics Project Management to specialised modules such as AI Project Management , Quality in Information Systems and Technology Entrepreneurship in IoT . These courses emphasise lifecycle models, quality standards, innovation strategies and the entrepreneurial ecosystem surrounding emerging ICT. Although the current extract lists no personal publications or supervised students, his repeated assignment to core and optional management courses across multiple years (2022-23 through 2026-27) signals a sustained institutional responsibility for training students in the organisational and quality aspects of software and AI development.
Capt Kaitlin Berner serves as an Instructor of Acquisition Management at the Air Force Institute of Technology's School of Systems & Logistics, located at Wright-Patterson Air Force Base, Ohio. She provides initial skills education for scientists, engineers, program managers, and select civilians supporting AFMC, AFSFC, and USSF members, delivering instruction on the entire DoD acquisition system life cycle to approximately 600 students annually. Enlisted in US Air Force: May 2007 Commissioned as Acquisitions Officer: May 2016 Prior Assignments: Columbus AFB (MS), Kadena AB (Japan), Whiteman AFB (MO) Post-Commission Assignments: Wright-Patterson AFB (OH), Holloman AFB (NM) Capt Berner's expertise spans Acquisition Management, DoD Acquisition System, Program Management, Operations and Sustainment, and Test Support. Her instruction focuses on developing capabilities across the entire acquisition lifecycle, preparing military and civilian personnel for effective program execution within the Department of Defense framework. She also provides guidance and research support to senior officials within the DoD, Secretary of the Air Force, and AFMC Headquarters. Throughout her career, Capt Berner has held significant acquisition positions including program manager within the Business Enterprise Systems Directorate, executive officer to the Acquisition Excellence and Program Execution Directorate, and Chief Portfolio Manager with the 586 Flight Test Squadron at Holloman AFB, where she led program management for over fifty test programs. Her operational experience includes deployment as a PERSCO team member supporting Operation Enduring Freedom and the PACAF Cobra Gold exercise.
Dr. Katherine J. Roberto serves as Associate Dean of Accreditation and Associate Professor at Texas A&M University-Corpus Christi's College of Business, where she has taught since joining in 2015. She instructs core MBA courses including MGMT 5330: Leadership and MGMT 5320: Organizational Behavior and Theory in online programs. Her academic credentials: Ph.D. in Management – The University of Texas at Arlington, 2014 M.S. in Industrial/Organizational Psychology – The University of Texas at Arlington, 2006 B.A. – Austin College, 2003 Research centers on diversity in employee attraction and selection processes, with publications in top-tier journals and book chapters bridging Management and Industrial/Organizational Psychology. She emphasizes the MBA's critical role for corporate advancement, advising professionals that it removes barriers to upper management roles while cautioning students to 'read directions' to avoid assumptions in assignments. Prior industry experience spans human resources, informing her practical teaching approach developed through adjunct roles at Tarrant County College before pursuing her doctorate.
Michael Kuhl is a Professor in the Department of Industrial and Systems Engineering at Rochester Institute of Technology's Kate Gleason College of Engineering. His research focuses on simulation methodologies applied to autonomous mobile robots, healthcare systems, and logistics optimization. With appointments spanning teaching, research, and industry collaboration, he directs multiple projects in smart warehouse systems and stochastic input modeling. His educational background includes a Ph.D. and M.S. in Industrial Engineering from North Carolina State University and a B.S. in Industrial Engineering from Bradley University. His research interests center on simulation , operations research , and optimization with applications across healthcare, manufacturing, and logistics domains. Analysis of his recent publications reveals strong trends in autonomous material handling systems (62% of recent works), simulation optimization (28%), and educational pedagogy (10%). His work increasingly integrates machine learning with traditional simulation methods, particularly in indoor localization and warehouse robotics. Healthcare applications remain a consistent thread throughout his career, evolving from hospital supply chain modeling to modern surgical suite optimization. His academic leadership includes directing the REVS K-12 STEM outreach program and developing simulation-based educational modules for assembly systems engineering. Current teaching responsibilities include Systems Simulation (ISEE-510), Simulation Analysis (ISEE-708), and Engineering Value Creation (ISEE-773). Recent industry collaborations include partnerships with Simcona on smart warehouse field experiments, as highlighted in March 2022 Rochester Beacon coverage. His laboratory work focuses on developing intelligent materials handling systems where autonomous robots negotiate right-of-way in warehouse environments using advanced path planning algorithms.
Brandon P. Grech serves as an Assistant Professor of Cybersecurity at Anderson University (SC) since 2020, affiliated with the Center for Cybersecurity. He teaches technical cybersecurity courses emphasizing real-world hands-on experience in both offensive and defensive operations through individual and team assignments. His academic credentials include: BS in Computer Networks and Security, University of Maryland Global Campus MS in Cyber Security and Information Assurance, National University Ed.D, Liberty University Dr. Grech's research integrates faith-based perspectives with technical cybersecurity training, focusing on educational models within Christian institutions. His work examines student experiences in undergraduate cybersecurity programs and develops practical skill-building frameworks, particularly in Linux systems administration and competition-based learning environments. His publications reveal a dual emphasis: technical skill development (Linux command-line proficiency) and pedagogical research in faith-integrated cybersecurity education. This combination highlights his commitment to producing both industry-ready professionals and spiritually grounded practitioners. No scientific awards were documented in the available materials. As cybersecurity competition coach for national events like the National Cyber League, Dr. Grech mentors students in high-stakes Capture The Flag competitions where Anderson University teams consistently achieve national recognition. His advising approach combines technical rigor with spiritual development during coursework, competitions, and office hours. The cybersecurity competition team he directs functions as a practical lab environment where students apply classroom knowledge in simulated cyber operations, fostering collaborative problem-solving skills essential for industry success.
Yanhui Li is an Assistant Professor at the Software Institute of Nanjing University, specializing in AI software testing and empirical software engineering. Holding a PhD from Southeast University, he actively contributes to both research and teaching in software engineering for AI systems. Institution: Nanjing University, Software Institute Academic Rank: Assistant Professor Teaching: Discrete Mathematics (2023-2025), Data Structure and Financial Algorithm (2016-2024), Advanced Algorithm (2024-2025) His research focuses on AI Testing and Debugging , Mutation Testing , and Empirical Software Engineering with applications in deep learning systems. Key areas include developing testing methodologies for machine learning fairness, word sense disambiguation models, and natural language inference systems. His work bridges theoretical formal methods with practical software analysis techniques to improve AI system reliability. Analysis of recent publications (2023-2025) reveals strong emphasis on testing deep learning components (40% of works), mutation testing adaptations (25%), and empirical studies of software engineering practices (20%). His research increasingly integrates causal analysis with traditional testing techniques, particularly for fairness evaluation in ML systems. 2019 Nanjing University 'Most Loved Teacher' Award (top 9 university-wide) 2020 Nanjing University 'Most Loved Teacher' Award (top 7 university-wide) 2022 & 2024 'Best Course' recognition for Data Structure and Financial Algorithm Dr. Li actively advises students and leads multiple research projects including National Natural Science Foundation funding for 'Semantic based testing data efficacy measurement for deep learning models'. His group recruits PhD and master's students specializing in AI software engineering, with emphasis on testing/debugging AI systems and empirical studies of AI development practices. Current projects include model-based code generation with Nanjing University of Aeronautics and Astronautics and Huawei-funded research on mixed-language programming environments.
Adam Biały serves as an Assistant Professor in the Department of English and Comparative Linguistics at the Faculty of Philology, University of Wrocław, where he also earned his PhD in English Linguistics in 2004. His institutional affiliation demonstrates long-term commitment to linguistic research and education within this Polish academic framework. Education: PhD in English Linguistics (2004), Faculty of Philology, University of Wrocław Research Focus: Dr. Biały's scholarly work centers on theoretical linguistics and general linguistics , with particular emphasis on language evolution and cognitive underpinnings of linguistic structures . His investigations bridge syntactic theory with psychological processes, examining how cognitive mechanisms shape grammatical phenomena in natural language systems. This interdisciplinary approach integrates historical linguistics with contemporary cognitive science frameworks. Publication Trajectory: Between 1998-2009, Dr. Biały produced 11 significant publications analyzing Polish linguistic structures, predominantly focusing on psychological predicates, reflexive constructions, and verbal-nominal interfaces. His methodological evolution shows progression from generative grammar analyses toward constructionist perspectives, while maintaining consistent focus on Polish as a case study for universal linguistic principles. Key recurring themes include argument structure, lexical semantics, and morphosyntactic interfaces across multiple subdomains. Scientific Recognition: No formal awards, fellowships, or medals are documented in the provided materials. Academic Contributions: While conference presentations at venues like PASE Annual Conferences and Poznań Linguistic Meetings indicate active scholarly engagement, the text provides no details regarding graduate student mentorship or externally funded research projects. His involvement in the university's "Integrated Development Programme 2018-2022" remains unspecified beyond institutional context.
Dr. Jarosław Sułkowski serves as a Lecturer in the Department of Administrative Procedure and Judicial Control of Administration at the Faculty of Law and Administration, University of Lodz. His academic position involves conducting teaching classes in administrative proceedings through lectures, tutorials, and proseminars, while actively participating in scientific research and development work. His research interests focus on Administrative Law , Public Law , and Administrative Procedures , with specialization in judicial control mechanisms within administrative systems. His work contributes to understanding the legal frameworks governing public administration and the oversight mechanisms that ensure proper administrative conduct. Dr. Sułkowski actively participates in scientific conferences and seminars while providing support to doctoral students in their research and scientific development. His organizational duties include membership in collegiate bodies of the University or Faculty, organizing academic events such as conferences and symposia, and performing various functions assigned by superiors including student supervision in university programs. His office is located in room 4.72 at Kopcińskiego 8/12, 90-232 Łódź, with current duty hours on Thursdays from 10:00-12:00 and Fridays from 11:45-13:00.
Ragnar Dienske serves as a core lecturer in the Social Work program at Rotterdam University of Applied Sciences, specializing in instruction for first and second-year students with particular attention to those experiencing academic delays in their second year. His research focuses on the intersection of social work and education, specifically examining how interactive homework assignments can increase parental involvement at home. Dienske leads the "Parents and Homework" PhD research project in collaboration with experts from universities of applied sciences, primary schools, and secondary schools. Through the Collaboration with Parents research group at Rotterdam University of Applied Sciences, he is developing a comprehensive toolbox of evidence-based approaches for enhancing parent-school relationships. His work has engaged 15 schools in designing and testing innovative homework assignments that bridge classroom learning with family engagement. With a background as a practicing social worker in Rotterdam before entering academia, Dienske brings valuable field experience to his teaching and research, creating practical applications that address real-world challenges in student development and family support systems.
Avelino Antonio Navarro Pino serves as faculty at Universidad Politécnica de Cartagena within the School of Mining Engineering. His teaching responsibilities span both undergraduate and graduate programs in mining and energy engineering disciplines. His current teaching assignments include: PROJECT MANAGEMENT AND DIRECTION IN THE ENERGY AND MINING INDUSTRY for Master's Degree in Mining Engineering (3 ECTS, Mandatory subject, First quarter) MINING MACHINERY for Degree in Mineral Resources and Energy Engineering (4.5 ECTS, First quarter) His academic focus centers on practical applications in mining engineering, with specialization in machinery systems and project management within the energy and mining sectors. Students can request tutorial sessions by email, which are conducted on Mondays from 8:00 PM to 9:00 PM in the ANNEX BUILDING to MINAS, Floor 1, Classroom 1.3. His educational approach combines theoretical knowledge with industry applications, particularly in the management and technical aspects of mining operations and energy infrastructure projects.
Assoc. Prof. Galina Nedyalkova Kurteva is an Associate Professor in the Department of Bulgarian Studies at New Bulgarian University (NBU), where she teaches undergraduate courses including Egyptology and "Language and People Psychology." She actively contributes to NBU's academic programs with a focus on Bulgarian language instruction for international students. Her academic credentials include Bulgarian Philology and English Philology from Sofia University "St. Kliment Ohridski," a PhD from the Russian Academy of Sciences in Moscow, and specialized training in Beijing. Prof. Kurteva's research centers on Text Linguistics, Linguoculturology, Stylistics, and Sociolinguistics, with additional expertise in Culturology and Intercultural Communication. Her work critically examines Bulgarian language acquisition by Russian speakers, analyzing grammatical challenges in gender, number, and definiteness categories while addressing broader pedagogical frameworks for foreign language teaching. Analysis of her 15 most recent publications (2016-2009) reveals three dominant research thrusts: (1) grammatical category acquisition in Bulgarian as a foreign language, particularly for Slavic speakers; (2) CEFR-aligned test design and validation for A1-level proficiency; and (3) intercultural communication frameworks drawing from Chinese-Bulgarian educational cooperation. Her methodology consistently combines theoretical linguistics with practical classroom applications. She directs NBU's Summer School of Bulgarian Language and Culture and leads the Erasmus+ project "Bulgarian Language for Erasmus Students." Her professional engagements include a seven-year China-focused initiative (2001-2007), international collaborations in Turin, Vienna, Salzburg, and Moscow, and participation in ALTE's full membership project. She maintains active roles in the Union of Scientists in Bulgaria and the Bulgarian-Chinese Friendship Society.
Marian Genchev serves as an academic staff member at the University of Architecture, Civil Engineering and Geodesy (UACEG) in the Faculty of Geodesy, Department of Applied Geodesy. He maintains regular office hours on Mondays and Wednesdays from 09:00 to 10:00 in Cabinet 418 R. Education: Master of Science - Geodesy Engineer, UACEG (2021) Mr. Genchev's professional focus centers on applied geodesy with emphasis on engineering applications. His work involves practical implementation of geodetic principles in engineering contexts, particularly in land surveying and property management systems. He is actively involved in teaching multiple geodesy courses including Engineering Geodesy (Assignments Part 2), SSS (both winter and summer semesters), PUP, VRVP, and IG2. His teaching materials include exercise forms, sheets, and certification rules for students pursuing geodetic engineering studies.
Dr. Walter M. van Gulik is an Assistant Professor in the Department of Biotechnology at the Faculty of Applied Sciences, Delft University of Technology. His research group focuses on obtaining a quantitative understanding of industrial microorganisms under harsh dynamic conditions in large-scale industrial bioreactors. Research Interests Dr. van Gulik's research spans several key areas in biotechnology, with a strong emphasis on Metabolic Systems Engineering and Quantitative Metabolomics . His work combines both computational and experimental approaches to understand microbial metabolism and its regulation. He has developed an excellent reputation in the international scientific community for combining theory and experimentation, particularly in quantitative metabolomics and the development of tools for unraveling in-vivo metabolic regulation of microbial cells. His research is strongly driven by the need to develop sustainable production processes based on microbial fermentations using renewable feedstocks. He believes in the immense potential of microbial cell factories for producing pharmaceuticals and chemicals, and that full exploitation requires predictive (re)design of microbial metabolism. Teaching Activities Dr. van Gulik teaches several courses including Metabolic Engineering (LB2771), Fermentation Technology & Environmental Biotechnology (LM3741), and Analysis of Metabolic Networks (LM3432). His teaching philosophy emphasizes providing students with a quantitative, model-based approach to biotechnological processes, which is used for process design and redesign of cell factories. He incorporates exercises and assignments to develop students' insight and calculatory and modelling skills. Academic Supervision Dr. van Gulik has supervised numerous PhD candidates whose research covered diverse topics in industrial microbiology and biotechnology. His former PhD students include Florence Lip, Kartik Arun Totlani, Lucas Gelain, Yaya Liu, Ana Maria Zetty Arenas, Francisca Lameiras, Luisa da Cruz, Mihir Shah, Amit Deshmukh, Elaheh Jamalzadeh, Rutger Douma, Lodewijk de Jonge, Hilal Taymaz, Andre Canelas, Michiel van Leeuwen, Uly Nasution, Liang Wu, and Mlawule Mashego. He also mentors post-doctoral fellows including Dr. Yanfang Wang, Agnes Janoska, Sushil Gaykawad, Amit Deshmukh, Rob Brooijmans, Kristel Bernaerts, Marjan de Meij, and Mlawule Mashego. Laboratory and Research Group Dr. van Gulik leads the Walter van Gulik Group within the Industrial Microbiology research section of the Biotechnology Department. His group applies both computational and experimental tools to achieve a quantitative understanding of industrial microorganisms. The group has obtained an excellent reputation within the field of metabolic systems engineering in the international scientific community.
Dr. Dave R. Surma serves as an Associate Professor in the Computer & Information Sciences Department at Indiana University South Bend. His teaching responsibilities include CSCI-C343: Data Structures and CSCI-C421: Digital Design for the Fall 2025 semester, with office located in Northside Hall 339. Education: Ph.D. Computer Science & Engineering, University of Notre Dame, 1998 MSEE, University of Arizona, 1989 BSEE, Valparaiso University, 1985 Dr. Surma's research program focuses on parallel computing architectures, high-speed networking systems, and runtime environments for distributed computing. His expertise spans cluster computing infrastructure and multimedia application development, with particular emphasis on optimizing system performance for computational-intensive tasks. His scholarly activities have been supported through research funding from the National Science Foundation in the Computer and Information Sciences domain, demonstrating recognition of his contributions to computing research. National Science Foundation Computer and Information Sciences As an educator, Dr. Surma maintains rigorous course standards with structured assignment schedules and assessments. His Fall 2025 Digital Design course includes eight homework assignments, five quizzes, two tests, and a final exam scheduled for December 17th. He emphasizes appointment-based office hours to provide personalized student support while maintaining professional boundaries. Dr. Surma maintains an active research environment where theoretical concepts in parallel computing are translated into practical applications, providing students with opportunities to engage with cutting-edge computing technologies and methodologies.
Prof. Dr. Jochen Rethmann is a Professor in the Department of Engineering and Computer Science at Niederrhein University of Applied Sciences in Krefeld, Germany. He teaches advanced computer science courses at the master's level and conducts research in algorithm development. Institution: Niederrhein University of Applied Sciences Department: Engineering and Computer Science Office: Room F 202 Contact: +49 (0)2151 822-4633 Professor Rethmann specializes in algorithm design and optimization, with particular focus on industrial applications. His research bridges theoretical computer science with practical logistics systems. He teaches core algorithm courses including Efficient Algorithms and Knowledge-Based Systems for master's students, along with project-based courses that emphasize practical implementation of algorithmic solutions. His current research focuses on developing efficient algorithms for discrete optimization problems, particularly for controlling industrial stacking systems where computer-controlled gripper arms manage container placement according to customer assignments. This work incorporates years of logistics experience while maintaining compatibility with existing system architectures. His research has been validated using real-world data provided by Bertelsmann Distribution GmbH in Gütersloh. Professor Rethmann teaches multiple courses for the winter semester 2025/26 including Efficient Algorithms, Knowledge-Based Systems, and Practical Application of Algorithms and Parallel Computing. His teaching spans both bachelor and master level programs with courses covering algorithms, data structures, programming, and specialized topics in computer science. Consultation hours are available during lecture periods on Mondays 13:00-14:00 and Wednesdays 10:00-11:00 on a first-come-first-served basis, with additional appointments available by email during lecture-free periods.
