جستجوی استاد راهنمای دانشگاهی

Vennapusa Sivaranjana Reddyمشاهده پروفایل

دانشیار

• Theoretical Chemistry
• Computational Chemistry
• Photochemistry
• +۵ مورد دیگر

Dr. Vennapusa Sivaranjana Reddy is an Associate Professor in the Department of Chemistry at the School of Chemistry, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). With a career spanning theoretical and computational chemistry, her research focuses on ultrafast excited-state intramolecular proton transfer (ESIPT), intersystem crossing (ISC), and triplet state formation in organic molecules. She leads a dynamic research group investigating these phenomena through quantum molecular simulations and computational techniques. Education: M.Sc. and Ph.D. from the University of Hyderabad (2003-2010); B.Sc. from Government Arts College, Kadapa (2000-2003). Professional Experience: Associate Professor (2022–present) and Assistant Professor (2013–2022) at IISER TVM; postdoctoral fellowships at Nagoya University (Japan), Heidelberg University (Germany), and CSIR-HRDG/SERB-funded projects. Her research group explores ESIPT mechanisms in 5- and 6-membered proton transfer cycles, ultrafast ISC pathways in naphthalene and pyrene derivatives, and triplet formation in ESIPT tautomers. The 15 most recent articles highlight her expertise in designing optoelectronic materials, fluorescent probes for H2S detection, and computational modeling of spin-vibronic dynamics. She has secured significant grants from CSIR and SERB and collaborates with institutions across India and abroad. Her students have received prestigious PMRF fellowships and presented award-winning work at international conferences. Scientific Awards: Early Career Research Award (SERB, 2016), Alexander von Humboldt Postdoctoral Fellowship, GATE-2005 (All India Rank 6), UGC-CSIR qualification, and merit scholarship during M.Sc. Dr. Reddy’s group utilizes advanced computational tools like GAUSSIAN 09, TURBOMOLE 7.4, and MCTDH for electronic structure calculations and quantum nuclear dynamics. She mentors Ph.D. students and alumni, including those now at institutions like the University of Vienna and Ludwig-Maximilians-Universität München. Her teaching portfolio includes courses in physical chemistry, quantum chemistry, and computational methods.

Aron Szekelyمشاهده پروفایل

استادیار

• Signalling Theory
• Social Norms
• Reputation
• +۵ مورد دیگر

Aron Szekely is an Assistant Professor in Sociology at Collegio Carlo Alberto and an Associate Researcher at the Laboratory of Agent Based Social Simulation (LABSS) within the Institute of Cognitive Sciences and Technologies (ISTC) at CNR. He coordinates the Social and Political Sciences track of the Allievi Honors Program and teaches courses on social change, policy analysis, and cooperation at Collegio Carlo Alberto and the University of Turin. Education : DPhil in Sociology (2015), MSc in Sociology (2010) from the University of Oxford, and BSc in Biology (2008) from the University of Bristol. Research Interests : Interdisciplinary studies on signaling theory , social norms , group reputation , cooperation , conflict , and agent-based modeling . His work bridges sociology, psychology, and computational methods. Scientific Awards : Recipient of the Carlo Alberto Medal for contributions to interdisciplinary research. Recent Publications analyze topics such as collective risk response, pandemic-induced norm changes, organized crime dynamics, and the psychology of honor killings, with methods ranging from experimental design to agent-based simulation.

Christian Klassertمشاهده پروفایل

پژوهشگر

• Water Security
• Coupled Human-Natural Systems Modeling
• Agent-Based Modeling
• +۶ مورد دیگر

Dr. Christian Klassert is a researcher at the Department of Economics, Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany, where he serves as co-speaker of the Working Group Social-Science Water Research. His work spans international water security projects focusing on Jordan, India, and Germany. Current Position: Postdoctoral Researcher, Department of Economics, UFZ (since 09/2021) Previous Positions: Researcher at UFZ (2017-2021), Researcher at Leipzig University (2014-2017), Research Assistant at UFZ Bioenergy Department (2011-2014), Visiting Postdoctoral Scholar at Stanford University (2022-2023) Dr. Klassert holds a PhD in Economics from Leipzig University (2021), where he received summa cum laude honors for his thesis on decentralized private water service provision in intermittent supply systems in Jordan. He also earned a European Master in Law and Economics and LL.M. from the Universities of Hamburg, Ghent, and Haifa, and a German academic law degree from Mainz University where he ranked second in his state-wide examination. His research combines coupled human-natural systems modeling, agent-based modeling, and econometrics to assess water security impacts of unequal urban water access and agricultural droughts. Klassert contributes to major international projects including the Jordan Water Project, FUSE Project in India's Upper Bhima Basin, and agricultural drought adaptation research through UFZ Graduate Schools AGRI-TRANSFORM and Thirsty Cities. His interdisciplinary approach integrates economic, social, and environmental dimensions of water security challenges. Analysis of his publication record reveals a strong focus on urban water security, particularly examining informal water markets, household water demand under intermittent supply, and the water-energy nexus. His work increasingly incorporates climate change impacts on water resources and agricultural systems, with a growing emphasis on equity dimensions of water access and infrastructure planning. The geographic scope of his research spans the Middle East (particularly Jordan), South Asia (India), and Europe (Germany). Dr. Klassert received the UFZ Research Award in 2022 for his interdisciplinary work assessing future water crisis risks in Jordan. He serves as a reviewer for prestigious journals including Nature Water, One Earth, and Water Resources and Economics, and co-chairs the Working Group Human Systems Modeling within the MultiSector Dynamics community of practice. His research is supported through multiple international projects including the UFZ Graduate Schools AGRI-TRANSFORM and Thirsty Cities, Future Earth project NexusFootprints, Belmont Forum projects FUSE and Jordan Water Project, and BMUB project JordanCap. These projects involve extensive international collaboration with research institutions in Germany, the United States, Jordan, and India. Klassert's work is conducted within the Department of Economics at UFZ, which focuses on interdisciplinary environmental economics research. His projects often involve close collaboration with stakeholders through workshops and participatory approaches, particularly in the Food-Water-Energy Nexus research in Amman, Jordan and Pune, India.

Karthik Akkirajuمشاهده پروفایل

استادیار

• Heterogeneous Catalysis
• Density Functional Theory
• Material Poverty
• +۷ مورد دیگر

Dr. Karthik Akkiraju serves as Assistant Professor in the Department of Materials Engineering within UBC's Faculty of Applied Science, maintaining an active research program at the intersection of materials science and socio-environmental systems. His office (FF 011) and contact email (karthik.akkiraju@ubc.ca) reflect his current institutional affiliation. His research pioneers a techno-social paradigm for planetary health through three synergistic foci: (1) Establishing material poverty benchmarks using household survey data to identify resource-deprived communities; (2) Quantifying socio-environmental impacts across material supply chains; (3) Integrating well-being metrics into heterogeneous catalyst design frameworks. This work fundamentally reimagines materials engineering by centering human well-being within ecological boundaries, developing design methodologies that balance material requirements with equitable environmental constraints. Analysis of his publication trajectory reveals consistent interdisciplinary innovation spanning computational catalysis, environmental policy, and social metrics. His recent work demonstrates particular strength in perovskite catalyst engineering for sustainable chemistry and novel methodologies for spatial well-being assessment, reflecting a unique fusion of traditional materials science with computational social science. Dr. Akkiraju directs the Sustainable Materials Lab (SMAL), where his team develops frameworks connecting material consumption patterns to human development outcomes, creating pathways for resource allocation that simultaneously address poverty alleviation and environmental sustainability.

• Human Factors
• Cognitive Science
• Cyberpsychology
• +۷ مورد دیگر

Professor Phillip Morgan is a leading academic in Human Factors and Cognitive Science at Cardiff University's School of Psychology, holding a Personal Chair since 2020. He directs the Human Factors Excellence (HuFEx) Research Group and serves as Director of Research for the Centre for Artificial Intelligence, Robotics & Human-Machine Systems (IROHMS) . Since March 2019, he has been seconded part-time to Airbus as Director of their Centre of Excellence in Human-Centric Cyber Security . BSc (Hons) Psychology, Cardiff University (2001) PGDip Research Methods, Cardiff University (2002, Distinction) PhD in Cognitive Psychology, Cardiff University (2005) PGCHE, University of Wales (2012, Distinction) His research merges Human Factors with Cognitive Science to address real-world challenges in: Human-machine interaction in autonomous systems Cyberpsychology and security behavior Transport human factors (connected/autonomous vehicles) Interruption/distraction effects on cognition Trust and blame dynamics in AI systems Industry 5.0 human-centric manufacturing Recent publications show AI and cybersecurity as dominant themes, with specific focus on autonomous vehicle interfaces, human fatigue analysis, and trust calibration in human-machine systems. His work integrates behavioral experiments, driving simulators, and human-state monitoring. Scientific Recognition: Associate Fellow of the British Psychological Society Best Paper Award at AHFE 2021 Member of Experimental Psychology Society Keynote speaker at multiple international conferences As supervisor, he leads projects on cybersecurity frameworks, fatigue detection, and human-AI interaction. His grants portfolio exceeds £37m from sources including EPSRC, ESRC, Airbus, and Wellcome Trust. Current supervisees include Victoria Marcinkiewicz, George Raywood-Burke, and Nicola Turner.

Nikolaos Paterakisمشاهده پروفایل

استادیار

• Power System Optimization
• Electricity Markets
• Renewable Energy Integration
• +۵ مورد دیگر

Nikolaos Paterakis is an Assistant Professor of Power System Optimization and Electricity Markets with the Electrical Energy Systems research group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He is the founder and principal investigator of the Electricity Markets & Power System Optimization Laboratory (EMPSOLab) established in 2019, and a member of the Cyber-Physical Systems Center Eindhoven (CPSe). His research focuses on applying optimization and machine learning techniques to power system and electricity market problems, particularly regarding renewable energy integration and smart grid technologies. Dr. Paterakis received his Dipl.Eng. from Aristotle University of Thessaloniki in 2013, followed by a PhD in Industrial Engineering and Management (cum laude) from the University of Beira Interior in 2015. After serving as a post-doctoral fellow at TU/e from 2015-2017 and working as a consultant for the Energy Market Regulatory Authority of Turkey, he was appointed Assistant Professor at TU/e in April 2017. His research spans power system optimization, electricity market design, renewable energy integration, and the application of machine learning techniques to grid management problems. Recent work emphasizes distributed energy resource integration, local electricity markets, congestion management in low-voltage grids, and real-time grid control using advanced optimization techniques. His publications demonstrate a clear trajectory toward increasingly sophisticated methods for managing grid constraints while enabling market participation of distributed energy resources. Dr. Paterakis has received several prestigious awards including IEEE SEGE'15, SEST 2019, and SEST 2020 Best Paper Awards, and recognition as a Best Reviewer for IEEE Transactions on Smart Grid (2015, 2017) and IEEE Transactions on Sustainable Energy (2016). He serves as Associate Editor for multiple journals including IET Renewable Power Generation, IEEE Systems Journal, IEEE Transactions on Intelligent Transportation Systems, and Elsevier's e-Prime. He leads multiple research projects including MEGAMIND (NWO-funded), P2P-TALES (NWO-funded), and the Electricity Markets Game series (TU/e BOOST!-program). His educational contributions include teaching courses on power system analysis and optimization, electricity markets modeling, and developing innovative educational tools for power systems education. In 2021, he was elevated to Senior Member of the IEEE Power & Energy Society.

Robin Purshouseمشاهده پروفایل

استاد

• Computational Modelling of Complex Social Systems
• Agent-Based Modelling
• Machine Learning
• +۶ مورد دیگر

Professor Robin Purshouse is a leading academic at the University of Sheffield , currently serving as Professor of Decision Sciences in the Department of Automatic Control and Systems Engineering within the School of Electrical and Electronic Engineering . With a career spanning academia and industry, his work bridges computational modelling , optimization , and systems science to address complex challenges in public health and engineering. His research has been pivotal in developing mechanisms for agent-based modelling and evolutionary multi-objective optimization . Education: PhD in Control Systems (2004), MEng in Control Systems Engineering (1999) from the University of Sheffield Professor Purshouse's research focuses on computational modelling of complex social systems , decision analytics for population health policy , and Bayesian optimization . He has pioneered the integration of machine learning and uncertainty quantification in social science simulations, with notable projects like the Sheffield Alcohol Policy Model and CASCADE initiative. His work spans interdisciplinary domains, including health economics , policy evaluation , and engineering design . Recent publications highlight his expertise in agent-based modelling for smoking/vaping dynamics , intersectional disparities in alcohol consumption , and inclusive economy frameworks . He has secured substantial funding (exceeding £16 million) through grants from NIH , CRUK , UKPRP , and MRC , including his role as co-PI in the HealthMod cluster. His contributions to multi-objective optimization and evolutionary algorithms have advanced methodologies in both engineering and public health domains. Scientific Awards: ESRC Future Research Leaders Award (2012-2015) As a co-developer of the Liger optimization environment , Purshouse has fostered open-source tools for complex decision-making. He leads the SIPHER consortium for systems science in public health and serves on editorial boards for journals like Environmental Modelling & Software . His teaching includes Agent-Based Modelling (ACS6132), and he maintains professional memberships in the Association for Computing Machinery and Research Society on Alcohol .

Ingmar Glaucheمشاهده پروفایل

استاد

• Hematopoietic Stem Cell Biology
• Clonal Competition Dynamics
• Stem Cell Aging
• +۵ مورد دیگر

Prof. Dr. Ingmar Glauche serves as Deputy Institute Director at the Institute for Medical Informatics and Biometrics within TU Dresden's Medical Faculty . He leads the Theoretical Stem Cell Biology research group and coordinates the institute's teaching activities. As an elected member of TU Dresden's extended senate, he contributes to institutional governance. Academic focus on hematopoietic stem cell biology Expertise in computational modeling Key roles in leukemia research and stem cell transplantation Research interests span clonal competition , stem cell aging , and proliferation-differentiation control , with applications in chronic/acute myeloid leukemia and inherited bone marrow failure . His work combines differential equation models and agent-based simulations to study clonal dynamics , spatial organization , and feedback mechanisms in stem cell systems. Recent publications analyze clonal dominance mechanisms (2025), pediatric CML therapy monitoring (2023), and stem cell aging (2022). Collaborations include DFG , BMBF , and Wilhelm Sander-Stiftung projects like TKI-Stop and MinimaL . Current students include Andrea Gottschalk and Thomas Zerjatke , while former advisees include Christoph Baldow and Helene Hoffmann . 2025: Blood - Myeloid bias mechanisms 2024: BMC Medical Education - Competence analysis 2024: Leukemia - Clonal hematopoiesis 2023: PLOS Digital Health - Data integration 2022: Nature Communications - Clonal reconstruction

Thomas W. Priceمشاهده پروفایل

استادیار

• Computing Education
• Educational Data Mining
• Advanced Learning Technologies
• +۵ مورد دیگر

Thomas W. Price is an Assistant Professor in the Department of Computer Science at North Carolina State University's College of Engineering. He directs the Help through INTelligent Support (HINTS) Lab and is affiliated with NCSU's Center for Educational Informatics. His work bridges computer science, education, and artificial intelligence to create intelligent learning environments. Dr. Price earned his M.S. and Ph.D. in Computer Science from NC State University in 2015 and 2018 respectively, and was named the College of Engineering Doctoral Scholar of the Year in 2018. His research focuses on computing education with an emphasis on automatically generating programming hints and feedback using student data. He has evaluated innovative programming environments including block-based and frame-based systems, and designs intelligent support tools that integrate with these technologies. His work examines how students seek and use help in both classroom and online settings, with particular interest in open-ended programming projects, data-driven feedback systems, and understanding student programming behaviors. His recent publications reveal a strong trend toward integrating AI and educational data mining techniques to support programming education. His work spans from fundamental research on student help-seeking behaviors to practical tools that provide immediate feedback, detect student struggles, and offer personalized support. A significant portion of his recent work addresses emerging challenges like student use of generative AI tools and detecting AI-generated code submissions. College of Engineering Doctoral Scholar of the Year (2018) Exemplary Paper Award from International Conference on Educational Data Mining Exemplary Paper Award from ACM Technical Symposium on Computer Science Education Recognition by STARS Computing Corps for leadership in computing outreach Dr. Price mentors several Ph.D. students including James Skripchuk, John Thomas Bacher, and Keith Tran. He has secured over $4 million in research funding from the National Science Foundation for projects including infrastructure for sustainable innovation in computer science education, data-driven technologies for STEM instruction, and intelligent support for creative programming projects. His research has practical applications in classroom settings and aims to create scalable solutions that don't place additional burden on instructors. As director of the HINTS Lab, Dr. Price leads a team investigating how to re-imagine educational programming environments as adaptive, data-driven systems. The lab focuses on supporting students working in creative, open-ended contexts through automated tools for planning, hint generation, and progress monitoring. Their research emphasizes practical methods that can scale to new classrooms and contexts while providing personalized support tailored to individual student needs.

• Developmental Robotics
• Multi-agent Systems
• Artificial Intelligence
• +۳ مورد دیگر

François Suro is a Lecturer at the University Institute of Technology, Valence within Grenoble Alpes University. He is affiliated with the LCIS laboratory and conducts research as part of the Co4Sys team. He earned his PhD in Computer Science from the University of Montpellier in 2020, focusing on epigenetic learning in multi-agent systems. Research Focus: His work centers on developmental approaches to artificial intelligence, with three primary domains: Progressive structuring of agent behaviors through hierarchical architectures (MIND framework) Acquisition and grounding of symbolic representations in embodied systems Emergence mechanisms for collective behaviors in agent societies Key application areas include robotics, social simulations, and cognitive modeling. Publication Trends: Recent works (2019-2021) demonstrate consistent exploration of hierarchical control architectures for autonomous agents, progressive learning methodologies, and collective behavior emergence in multi-agent environments. Dominant themes include developmental robotics frameworks, modular skill composition, and agent-based social simulations using platforms like NetLogo. Laboratory Context: As part of the LCIS laboratory's Co4Sys research team, he contributes to projects involving intelligent systems design and multi-agent coordination frameworks.

George Fergusonمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Human-Computer Interaction
• Temporal Reasoning
• +۸ مورد دیگر

George Ferguson is an Associate Professor in the Department of Computer Science at the University of Rochester . He serves as the Co-Director of the Undergraduate Program and has been recognized with multiple teaching awards, including the Edward Peck Curtis Award for Excellence in Undergraduate Teaching (2023) and the UR Students’ Association Professor of the Year in Engineering and Applied Sciences (2018-2019) . Education: Ph.D. in Computer Science (University of Rochester, 1995) M.Sc. in Computer Science (University of Rochester, 1989) M.Sc. in Computing Science (University of Alberta, 1989) B.Sc. in Mathematics and Computer Science (McGill University, 1987) Research Interests: Ferguson’s work bridges Artificial Intelligence , Human-Computer Interaction , and Medical Informatics . He focuses on Intelligent Conversational Assistants using Natural Language Understanding and Temporal Reasoning for domains like healthcare and logistics. His Dialogue Systems and Knowledge Representation research have led to innovations in Collaborative Problem-Solving and User-Centered Design . Scientific Awards: Outstanding Paper Award at AAAI-2007 Program Co-Chair for AAAI-2004 Invited Participation in NSF-NIH Symposia Teaching: Ferguson has taught a range of courses, from Introductory Programming (Java/Python/JavaScript) to advanced topics like Artificial Intelligence and Programming Language Design . He is also involved in outreach to middle/high school computing education.

Lin Zhuمشاهده پروفایل

پژوهشگر

• Infectious Disease Modeling
• Public Health Policy
• Epidemiology
• +۳ مورد دیگر

Lin Zhu, PhD is a Senior Research Engineer at Stanford University's Center for Health Policy and Department of Health Policy , specializing in simulation modeling for infectious disease control and public health policy development. Education: Bachelor of Medicine and Master of Science from Peking University; PhD in Epidemiology from University of Miami Her research integrates epidemiological modeling and network simulation to address disease transmission dynamics across multiple contexts: Malaria transmission in China (spatial agent-based models) Hepatitis C virus among people who inject drugs (network modeling) Optimal vaccine allocation during pandemics SARS-CoV-2 genomic surveillance Article trends demonstrate expertise in agent-based network modeling for: HCV elimination strategies Rural transmission patterns Sexually transmitted infection control Pandemic resource allocation Current affiliations include working with Stanford's Health Policy faculty on: Infectious disease policy Health systems modeling Global health initiatives

Yafeng Yinمشاهده پروفایل

استاد

• Transportation Systems
• Sustainable Transportation
• Urban Infrastructure Systems
• +۵ مورد دیگر

Yafeng Yin is Professor of Civil and Environmental Engineering and Professor of Industrial and Operations Engineering at the University of Michigan, College of Engineering, where he serves as Donald Malloure Department Chair of Civil and Environmental Engineering and holds the Donald Cleveland Collegiate Professorship in Engineering. His educational background includes: PhD in Civil Engineering from University of Tokyo (2002) ME in Civil Engineering from Tsinghua University (1996) BE in Environmental Engineering from Tsinghua University (1994) BE in Structural Engineering from Tsinghua University (1994) Dr. Yin's research centers on developing sustainable and economically efficient transportation systems through analysis, modeling, design, and optimization. He investigates how emerging technologies—including connected/automated vehicles, electric vehicles, drones, and mobile sensing—impact transportation demand and supply. His work extends to interdependencies between transportation, power, and communications networks in urban infrastructure systems. Key focus areas include mobility services, ride-sourcing markets, traffic management, and integration of artificial intelligence in transportation. His recent publications (2023-2025) demonstrate a pronounced shift toward leveraging large language models and agent-based frameworks for transportation analysis, with significant emphasis on on-demand mobility services (ride-sourcing, food delivery), traffic control with connected vehicles, and economic implications of emerging technologies. The research spans theoretical foundations in game theory and optimization to practical applications in urban settings. As director of the Lab for Innovative Mobility Systems, Dr. Yin leads interdisciplinary research developing solutions that enhance transportation efficiency, reliability, safety, and service diversity through technological integration. His work bridges theoretical modeling with real-world implementation challenges in evolving transportation ecosystems.

• computational multiscale modeling
• digital twin development
• applied artificial intelligence
• +۷ مورد دیگر

Davood Pourkargar is an Assistant Professor in the Tim Taylor Department of Chemical Engineering at Kansas State University. He is also a Graduate Faculty Member at the Food Science Institute and a Faculty Researcher at the Johnson Cancer Research Center. His work focuses on integrating data with first-principle models to understand complex systems across multiple scales. Ph.D. in Chemical Engineering from Pennsylvania State University (2015) M.S. in Process Simulation and Control from Sharif University of Technology (2010) B.S. in Chemical Engineering from Sharif University of Technology (2008) His research interests span computational multiscale modeling, digital twin development, applied artificial intelligence, and optimization-based control of complex process networks. Dr. Pourkargar's work integrates process systems engineering with artificial intelligence to address challenging problems in chemical, biological, energy, and food systems. He develops intelligent frameworks for controlling complex process networks, designing cyber-physical architectures for smart manufacturing, and advancing system identification using machine learning and process data analytics. A significant aspect of his research involves physics-informed machine learning applied to cancer dynamics modeling and drug distribution in the human body. Dr. Pourkargar's publication record shows a strong focus on predictive modeling and control of chemical processes, particularly ammonia synthesis systems, polysilicon reactor systems, and food extrusion processes. His recent work increasingly incorporates machine learning techniques, especially transformer architectures and physics-informed approaches, applied to both traditional chemical processes and emerging areas like organ-on-a-chip systems for drug discovery. 2024 Carl R. Ice College of Engineering Outstanding Assistant Professor Award NSF EPSCoR Research Fellowship 2023 Kansas EPSCoR First Award AFOSR Faculty Fellowship Big XII Faculty Fellowship Robert F. Smith School Distinguished Junior Researcher Award from Cornell University (2017) O. Hugo Schuck Best Paper Award (2014) Dr. Pourkargar has successfully mentored numerous graduate students through their master's and doctoral research, with several receiving departmental and college-level awards. His research has been supported by significant grants from the National Science Foundation, Kansas EPSCoR, and K-State's Global Food Systems initiative. His lab has presented extensively at major conferences including AIChE Annual Meetings and American Control Conferences. The Intelligent Systems and Process Systems Laboratory (ISPSL) led by Dr. Pourkargar operates computational and experimental facilities in Durland Hall. The lab is expanding into robotic additive manufacturing and autonomous biomanufacturing, supported by research infrastructure grants. The group maintains active collaborations with the Johnson Cancer Research Center and the Terasaki Institute for Biomedical Innovation.

Tingjun Leiمشاهده پروفایل

استادیار

• Bio-inspired Artificial Intelligence
• Robotics and Autonomous Systems
• Optimization and Evolutionary Computation
• +۳ مورد دیگر

Dr. Tingjun Lei is an Assistant Professor at the University of North Dakota's School of Electrical Engineering and Computer Science (SEECS). With a Ph.D. in Electrical and Computer Engineering from Mississippi State University (2023), his research focuses on bio-inspired artificial intelligence , robotics and autonomous systems , and human-autonomy teaming (HAT) . Research Interests : Bio-inspired AI for robot cognition Multi-robot coordination and control Graph-based path planning algorithms Human-autonomy collaborative systems Intelligent transportation frameworks Recent Article Trends span robotics , bio-inspired computation , and machine learning , with specific focus areas in swarm intelligence , cognitive mapping , multi-agent safety , and adaptive navigation systems . Scientific Awards : 2025 Honorable Mentions (IJCNN 2025) 2025 Early Career Scholars Award (UND) 2024 Best Paper Awards (Biomimetic Intelligence & Robotics, ASEE ECE Division) 2022-2023 ECE Best Graduate Researcher (Mississippi State) Students : Ashwin Mukunda Devanga (Ph.D.), Samuel Steen (Ph.D.), and Justin London (Ph.D.)