جست‌وجوی استاد و پژوهشگر

Andrew Torgetمشاهده پروفایل

استاد آموزشی

• Nineteenth-Century North American History
• U.S.-Mexico Borderlands
• Slavery Studies
• +۴ مورد دیگر

Andrew Torget serves as a University Distinguished Teaching Professor in the College of Liberal Arts and Social Sciences at the University of North Texas. His scholarly work centers on nineteenth-century North American history, with specialized expertise in Southern history, American expansion, slavery, Texas, U.S.-Mexico borderlands, and digital scholarship methodologies. Torget's research explores two interconnected trajectories: the territorial expansion of the American South into the U.S. West and Mexico, and the development of computational approaches for historical analysis. His investigations into slavery's role in Texas borderlands transformation and violence along the U.S.-Mexico frontier have established significant scholarly contributions. The integration of digital tools like text-mining and geo-visualization represents a pioneering methodological shift in historical research practices. His publication record reveals a consistent evolution toward interdisciplinary scholarship, merging traditional historical inquiry with digital humanities. Recent works demonstrate increasing sophistication in analyzing OCR-affected historical newspapers while maintaining rigorous engagement with borderlands social dynamics. This dual focus positions his output at the intersection of historical methodology and technological innovation. Torget's exceptional contributions have earned widespread recognition through numerous prestigious awards: Berninghausen Prize for Outstanding Teaching, University of Bremen (2023) U.S. Fulbright Scholar to Germany (2023) University Distinguished Teaching Professorship (2019) David J. Weber-Clements Center Prize (2016) Guinness World Record for "World's Longest History Lesson" (2018) Twelve book awards for Seeds of Empire He actively leads digital humanities initiatives including the Digital Austin Papers project and Mapping Texts, which develop computational frameworks for historical newspaper analysis. Current research focuses on nineteenth-century Galveston's pivotal role in Southwest development, alongside new digital methodologies examining spatial and textual dimensions of historical sources.

Konstantinos A. Tsintotasمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Computer Vision
• +۹ مورد دیگر

Konstantinos A. Tsintotas is an Assistant Professor at the Department of Information and Electronic Engineering, International Hellenic University. His research focuses on artificial intelligence, robotics, computer vision, and their applications in smart cities, healthcare, and manufacturing. He is actively involved in advancing AI-driven systems for critical infrastructure management, robotic vision, and embedded device technologies. His work spans theoretical advancements and practical implementations, including projects like SLAM algorithms for autonomous navigation, deep learning models for medical diagnosis, and IoT-integrated smart supply chains. Tsintotas also explores ethical implications of AI in human action recognition and contributes to neuromorphic computing through spiking neural networks. Key technical contributions include ReJSHand (real-time hand pose estimation), fall detection systems for embedded devices, and visual place recognition frameworks. His interdisciplinary approach bridges computer science, electrical engineering, and biomedical applications, reflecting a strong commitment to innovation at the hardware-software interface. Notable trends in his publications emphasize AI ethics, multimodal perception for robotics, and low-power embedded solutions. Ongoing work includes advancing digital twin technologies for supply chains and refining bio-inspired neural architectures for robotics applications.

Jacob Gersenمشاهده پروفایل

استاد

• Administrative Law
• Food Law
• Regulation
• +۵ مورد دیگر

Jacob Gersen is the Sidley Austin Professor of Law at Harvard Law School and an Affiliate Professor in the Department of Government at Harvard University. He also directs the Food Law Lab, which focuses on legal aspects of food policy. He holds a Ph.D. in Political Science and J.D. from the University of Chicago, along with an A.B. in Public Policy from Brown University. His expertise spans administrative law, food law, regulation, arbitration, and constitutional theory. Education: J.D. (University of Chicago, 2004), Ph.D. Political Science (University of Chicago, 2001), M.A. Political Science (University of Chicago, 1998), A.B. Public Policy (Brown University, 1996). Research interests include administrative law frameworks, food policy regulation, campus sexual misconduct governance, and constitutional theory. Notable work explores delegation mechanisms in lawmaking and institutional design. Recent scholarship addresses academic freedom in universities and bureaucratic governance of sex-related policies. His articles often analyze intersections between legal structures and political dynamics, with frequent contributions to law reviews and policy journals. He advises on arbitration cases involving federal agencies and Title IX proceedings, and occasionally serves as legal counsel in disputes involving defamation and contract law. Led the Food Law Lab, which supports interdisciplinary research on food regulation. Teaches courses such as 'Rediscovering The Legal Process' and 'Torts' at Harvard Law School. His work bridges legal theory with practical regulatory challenges, emphasizing institutional accountability and administrative efficiency.

Katrien De Graefمشاهده پروفایل

استاد

• Assyriology
• Ancient Near Eastern Studies
• Digital Humanities
• +۶ مورد دیگر

Prof. Dr. Katrien De Graef is a Professor in the Department of Languages and Cultures at Ghent University, specializing in the languages and socio-economic history of 2nd millennium BCE Babylonia and Elam. Her research bridges traditional philology with digital humanities methodologies, creating innovative approaches to ancient Near Eastern studies. Her research focuses on: Prosopography of Babylonian and Elamite societies Sealing practices as social and economic indicators Network analysis of ancient Near Eastern communities Digital methodologies for cuneiform texts (OCR, NLP) Gender studies in Old Babylonian society De Graef's research demonstrates strong interdisciplinary connections between traditional philology and computational methods. Her recent publications show a clear trajectory toward integrating digital humanities approaches with traditional Assyriological research, particularly in developing OCR for cuneiform cursive script and NLP pipelines for annotating cuneiform texts. This work enhances the integration and interpretation of textual, prosopographical, and material data from the ancient Near East. Her notable scientific contributions include: Research on sealing practices of women in Old Babylonian Sippar Analysis of nadītu women's social identity Studies on the Sukkalmah dynasty in Elam Examination of dual power structures in ancient Susa Investigation of matronymics in Sukkalmah Susa As a supervisor, Prof. De Graef has guided several doctoral students to completion, including Hendrik Hameeuw (2020), Astrid Verhulst (2015), and Guido Suurmeijer (2014). She leads multiple research projects including "CUNE-IIIF-ORM" (2021-2026) which aims to create an internationally image interoperable corpus of cuneiform tablets, and "War, trade and diplomacy" examining international relations between Babylonia and Elam. Her laboratory and research team work at the intersection of Assyriology and digital humanities, collaborating with computer scientists and archaeologists to develop new methodologies for studying ancient texts and material culture.

Dan Cristeaمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۳ مورد دیگر

Prof. Dan Cristea is a faculty member at the Faculty of Computer Science, Alexandru Ioan Cuza University (UAIC), specializing in Artificial Intelligence and Natural Language Processing. He holds a PhD and is a corresponding member of the Romanian Academy. His research focuses on computational linguistics, knowledge representation, and historical document deciphering, with notable projects like DeLORo for old Cyrillic texts and EUROLAN Summer Schools. He has supervised numerous students in AI and NLP projects, including systems for question-answering, sentiment analysis, and agent-based models. His work bridges theoretical linguistics with practical applications in digital heritage preservation and multilingual technologies. Education: PhD (not explicitly stated in text), but his academic rank implies doctoral qualifications. Research Interests: AI applications in NLP, discourse analysis, computational linguistics, and cultural heritage digitization. Projects include MappingBooks for geographical text navigation, CoBiLiRo for bimodal corpora, and Sentimatrix for sentiment analysis. He collaborates internationally on corpora like EuReCo and has developed tools for dependency parsing and semantic annotation. Key Achievements: Corresponding member of the Romanian Academy Lead developer of the Corpus of Contemporary Romanian Language (CoRoLa) Pioneered AI-driven historical document transcription systems Grants and Collaborations: Involved in EU-funded projects like i-Librarian and i-Publisher. Collaborates with institutions globally on NLP and corpus linguistics. Labs/Teams: Director of the NLP-Group@UAIC-FII and heads the DeLORo project team.

Vic Benuyenahمشاهده پروفایل

استادیار

• Organisational Psychology
• Human Resource Management
• Economics of HRM
• +۱۵ مورد دیگر

Vic Benuyenah is an Assistant Professor and Interim MBA Programme Director at the University of Birmingham Dubai, under the Birmingham Business School. He is also a full visiting Professor at Alliance Business School, Alliance University and ALU Business School, Mauritius/Kigali. His academic base is in Dubai International Academic City, where he teaches in the MSc HRM programme and supervises postgraduate research. PhD in Organisational Psychology – University of London Master of Business Administration – Staffordshire University B.A. (Hons) Economics with Sociology Oxford Certificate in Public Policy Economics Vic Benuyenah's research sits at the intersection of organisational psychology, economic theory, and human resource management. He explores how managerial decisions create deadweight loss, how cross-cultural conflict impacts performance, and how interpretative phenomenological analysis can uncover employee attitudes. His work integrates critical HR theory, evidence-based recruitment, and organisational citizenship behaviour within complex global organisations. His recent publications reflect a strong trend in ethical HR practices, cross-cultural dynamics, gender equity, and the application of economic models to HRM. Themes such as CSR in recruitment, lean management in academia, and postpartum mental health in the workforce demonstrate a commitment to socially relevant and methodologically diverse research. Senior Fellow, Higher Education Academy (HEA) Member, Chartered Institute of Personnel and Development (MCIPD) Fellow, Royal Economic Society of England Associate Editor – Journal of Work-Applied Management, Springer Humanities and Social Sciences Communications, Emerald Journal of Research in Innovative Teaching & Learning Editorial Board Member – Management Decision Economics and Business Examiner – Oxford, Cambridge and RSA (OCR) Exams (2009–present) Vic has extensive experience supervising and mentoring postgraduate students in areas such as labour markets, cross-cultural conflict, coaching, IPA applications, and critical HR theory. He has led curriculum development, served as Head of Quality and Programme Director, and contributed to research development in federal higher education institutions in the UAE. His leadership extends to editorial roles and shaping HRM education policy. He has been involved in leading academic programmes in Vietnam and the UK, and has served as Course Leader for CIPD-accredited HRM programmes. His prior industry experience includes roles at Royal Mail, Vatrixx Ltd, and RWE Npower in the UK, providing real-world grounding for his academic work.

• Early Modern European History
• Military History
• Digital History
• +۳ مورد دیگر

Jamel Ostwald is a Professor of History at Eastern Connecticut State University specializing in Early Modern European History, with particular focus on the military history of the Louis XIV era (17th-18th centuries). He earned his M.A. and Ph.D. in Early Modern European History from The Ohio State University and has established himself as a leading scholar on siege warfare during the War of the Spanish Succession. Dr. Ostwald's research interests center on Early Modern European Military History, with special emphasis on siege warfare, the 'way of war' during Louis XIV's reign, and the military strategies employed during the War of the Spanish Succession. He has pioneered the integration of Digital History methodologies into traditional historical research, developing Python-based tools for text analysis of historical documents, particularly focusing on cleaning and analyzing OCRed early modern texts. His work bridges traditional military history with digital humanities approaches, creating innovative ways to study historical warfare patterns. His publication record reveals a strong focus on the intersection of military engineering, siege tactics, and political strategy during the Louis XIV era. Analyzing his body of work shows a progression from traditional military history studies toward more methodologically innovative digital approaches, while maintaining his core focus on early modern siege warfare. His work demonstrates particular interest in Vauban's engineering principles, Marlborough's siege operations, and the cultural representations of siege warfare in early modern Europe. 2009 Society for Military History Best Book Award in Non-American History for Vauban under Siege: Engineering Efficiency and Martial Vigor in the War of the Spanish Succession Dr. Ostwald has developed and teaches within Eastern Connecticut State University's growing Digital History curriculum, mentoring students in conducting digital historical research on various topics. His methodological work focuses on creating tools for historians, including Python scripts for cleaning OCRed historical texts, web scraping for historical data collection, and developing methods to convert unstructured historical documents into structured datasets for analysis. He has also worked extensively with QGIS for mapping early modern military operations, realizing what he described as his '25-year dream to map early modern military operations.' His research program combines traditional archival work with innovative digital methodologies, particularly in analyzing campaign journals, siege narratives, and military correspondence from the early modern period. He maintains an active blog where he shares his digital history projects and methodological insights.

• Digital Humanities
• Spatial Humanities
• Artificial Intelligence
• +۷ مورد دیگر

Professor Patricia Murrieta-Flores is a faculty member at Lancaster University's School of Global Affairs and Co-Director of the Digital Humanities Centre. Her research focuses on the intersection of Digital Humanities, Artificial Intelligence, and Spatial Humanities to study Latin American colonial history, particularly 16th–18th century New Spain. She employs GIS, NLP, Computer Vision, and Machine Learning to analyze epidemics, economic systems, and indigenous spatial epistemologies. Research Grants : TAP/ESRC: Digging into Early Colonial Mexico AHRC/NEH: Unlocking the Colonial Archive ESRC: The Fleets of New Spain (2024–) Scientific Awards : Fellow, Royal Historical Society Fellow, Centre for Apocalyptic and Postapocalyptic Studies (Heidelberg) PhD Supervision : Katherine Bellamy Edward Moore Collaborative Networks : Cross-institutional projects with University of Lisbon, LLILAS Benson, and others Interdisciplinary teams combining Computer Science, History, and Archaeology

• Computer Vision
• Document Analysis
• Optical Character Recognition
• +۳ مورد دیگر

Alexander Hartelt is a researcher at the Institute of Computer Science, Faculty of Mathematics and Computer Science, University of Würzburg. He works at the Chair of Artificial Intelligence and Knowledge Systems (Computer Science VI) focusing on computer vision applications for historical document digitization. His research interests include: Computer Vision for historical document analysis Layout recognition and segmentation algorithms Optical character recognition (specializing in handwritten documents) Deep learning-based information extraction Digital preservation of cultural heritage materials Hartelt's recent publications demonstrate strong focus on medieval music manuscripts and historical print digitization. His work combines contour-based segmentation, deep learning networks, and open-source tool development to address challenges in historical document processing. Key application areas include music notation transcription and OCR for aged printed materials. Hartelt has been actively teaching since Winter Semester 2020/21, supervising: Artificial Intelligence I exercises Current Trends in Artificial Intelligence seminars Software internship topics His primary research projects include: Corpus Monodicum : Researching, transcribing and editing historically significant monodic music collections using the Ommr4all transcription tool Segmentation of Old Prints : Developing algorithms for segmentation and transcription of historical printed materials using pixel classifiers, contour-based approaches, and baseline detection methods

Ioannis Parmenion Patiasمشاهده پروفایل

دانشیار

• Project Management
• Project Risk Management
• Design of Robotics Systems
• +۵ مورد دیگر

Ioannis Parmenion Patias is an Associate Professor at the Faculty of Mathematics and Informatics , Sofia University , specializing in Project Management , Robotics , and Ethically Aligned Design . He holds a PhD in Computer Informatics (2001), a PMP certification (2010), and an MBA (2013). Education: MSc, Technical University of Sofia (1993) Candidate of PhD, Technical University of Sofia (1994-2000) PhD, Computer Informatics (2001) PMP Certification, PMI USA (2010) MBA, International Hellenic University (2013) Research Interests span Project Risk Management , Robotics , and Prompt Engineering , with a focus on ethical design , cloud federation , and knowledge-based systems . His work bridges autonomous systems and public policy . Scientific Projects include EU-funded initiatives like SUMMIT (2023-) and me_HeLi-D (2022-), alongside MIRACle (2020-2022) and GATE (2019-2020), emphasizing robotics , cloud integration , and mental health resources . Publications cover topics from ethical robotics to mobile healthcare apps , reflecting his interdisciplinary approach. He has authored books such as Embedded Control in Autonomous Systems (2024) and Design of Robotics Systems (2017).

Nagender Anejaمشاهده پروفایل

عضو هیئت علمی

• Deep Learning
• Medical Imaging
• Data Analytics
• +۳ مورد دیگر

Dr. Nagender Aneja is a Collegiate Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. Previously, he held roles as a Research Scholar at Purdue University, Assistant Professor at Universiti Brunei Darussalam, and Associate IP Lead at CPA Global. He earned his Ph.D. in Computer Engineering from J.C. Bose University of Science and Technology (2019) and M.E. from Delhi College of Engineering (2004). His research focuses on deep learning, medical imaging, system resiliency, and language models. He has published over 42 papers and holds three US patents in cybersecurity and NLP. Awards include QS Reimagine Education judging roles and the Brunei ICT Award (2016). Current research collaborations include Purdue University and Sandia National Laboratories on space computing resiliency. He is an editorial board member for Symmetry and ASEAN Journal on Science and Technology for Development . Notable contributions include the NL-Augmenter framework and AI-enabled IoT security systems.

• Cybersecurity
• Data Protection
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Chaminda Hewage serves as Interim Associate Dean for Research and Reader (Associate Professor) in the Cardiff School of Technologies at Cardiff Metropolitan University. He leads the Computer Security Programme and holds a Ph.D. in Multimedia Communications from the University of Surrey (2009) and a B.Sc. in Electrical and Information Engineering from the University of Ruhuna (Sri Lanka). His research focuses on cybersecurity, data protection in AI/ML systems, blockchain applications, and multimedia communication security. He has authored over 50 peer-reviewed publications and edited major books on emerging technologies' privacy challenges. Education Background: B.Sc. (Hons) Electrical & Information Engineering, University of Ruhuna (2004) Ph.D. in Multimedia Communications, University of Surrey (2009) Postgraduate Certificate in HE Teaching & Learning, Kingston University (2014) Research Interests: Data protection mechanisms in AI/ML Cybersecurity frameworks for Industry 4.0 Blockchain for public and private sector applications Metaverse privacy and security Edge AI and embedded system security Regulatory compliance in digital transformation Recent Contributions: Co-edited the 2024 Springer volume Data Protection: The Wake of AI and Machine Learning , published influential works on Kubernetes security, V2X communication cryptography, and metaverse privacy. Active in international conferences including C3AI and ICCS. Awards & Recognition: Gold Medal for Academic Excellence (2004), University of Ruhuna ORS Scholarship (2005), HEFCE Fellow of the Higher Education Academy Grants & Collaborations: Leads research projects on cybersecurity for SMEs, smart city infrastructure, and digital transformation. Engages with industry partners through Cardiff Met's innovation networks. Advises on UK government cyber policy initiatives. Labs/Teams: Oversees the Cybersecurity Research Group and collaborates with the ZERO2FIVE Food Industry Centre for IoT applications. Active in multidisciplinary teams addressing Industry 5.0 challenges.

• Pattern Recognition
• Machine Learning
• Neural Networks
• +۹ مورد دیگر

Hubert Cecotti is an Associate Professor in the Department of Computer Science at California State University, Fresno (Fresno State), within the College of Science and Mathematics. He holds a Ph.D. (2005) and MSc (2002) in Computer Science from the University of Lorraine, France. His career includes roles as a Lecturer at University Henri Poincaré (2006–2007), Research Scientist at Bremen University (2008–2009), and researcher at Gipsa-Lab CNRS (2010) and UCSB (2011–2013). From 2014–2017, he was a Lecturer at Ulster University, co-supervising three PhD students. Research focuses on Pattern recognition and machine learning, including neural networks (CNNs, deep nets, ELMs) Signal/image processing for EEG/MEG analysis in brain-computer interfaces (BCIs) Applications in non-invasive BCI systems (e.g., P300 spellers, SSVEP, motor imagery) Document analysis for multilingual OCR (Bangla, Arabic, etc.) Multi-modal interfaces (eye-trackers, virtual keyboards) and VR for education/medicine He teaches undergraduate and graduate courses in algorithms, artificial intelligence, web programming, and research methodologies. His work bridges neuroscience, healthcare tech, and computational methods for accessibility.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

Dr. Mahmoud Mousa is an Assistant Professor in Computer Science and Programme Director for BSc (Hons) Computer Science programmes at Heriot-Watt University's Dubai Campus. He holds dual roles as Deputy Director of Undergraduate Studies and Programme Leader in the School of Mathematical & Computer Sciences. Previously, he served as Assistant Professor at Hertfordshire University and Zagazig University, where he contributed to a cubic satellite (ZUSAT) project with the Egyptian Space Agency. Dr. Mousa earned his PhD from the University of Liverpool, UK. His research focuses on AI applications, machine learning, computer vision, robotics, optimization algorithms, and blockchain-based solutions. Specific interests include robotic arm trajectory optimization, hybrid deep learning models, and energy-efficient automation. He has also explored trust and reputation systems and applied AI to medical imaging and cloud services. His recent work emphasizes bioinspired algorithms (e.g., whale optimization) for robotics and automation, alongside microgrid stability control. He has published over 10 peer-reviewed articles since 2015, with notable contributions to robotic arm optimization and neural network classifiers for EEG signals. His research aligns with UN SDGs related to affordable and clean energy, industry innovation, and sustainable cities. No scientific awards are explicitly mentioned. He actively supervises PhD students and contributes to multidisciplinary educational programs bridging technology, science, and arts.

Il Min Kimمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Il Min Kim is a Professor and Chair of Undergraduate Studies in the Department of Electrical and Computer Engineering at Queen's University, Canada. He is affiliated with the Smith Engineering School and holds cross-appointments as Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. His research focuses on AI-driven wireless systems, including edge AI, federated learning, and Geoscience AI. He leads the Ubiquitous Artificial Intelligence Lab (UAI Lab) and is a core member of the Ingenuity Labs Research Institute and Queen's Centre for Security & Privacy. Education: PhD in Electrical Engineering from KAIST (2001), followed by postdoctoral work at MIT and Harvard. He joined Queen's in 2003, progressing from Assistant to Full Professor (2014). Awards include the CVPR 2024 Challenge Prize, KOFST President’s Award (2021), and multiple ECE Best Professor Awards. He has over 150 patents in AI/communications and serves on editorial boards of IEEE journals. Research interests span AI for 6G, V2X communications, and secure machine learning. His work emphasizes practical applications in IoT, energy efficiency, and privacy-preserving techniques.