جست‌وجوی استاد و پژوهشگر

• Sustainable Construction Materials
• FRP Composites
• Concrete and Metallic Materials
• +۴ مورد دیگر

Dr. Tafsir Tafsirojjaman is a Senior Lecturer in Civil and Structural Engineering at the University of Adelaide's School of Architecture and Civil Engineering. His research focuses on sustainable construction materials, including FRP composites, concrete, and structural rehabilitation under dynamic loads. He has secured AU$1,207k in grants from ARC, government, and industry partners and supervises multiple PhD/Master’s students. Previously, he worked at the University of Southern Queensland and earned his PhD from Queensland University of Technology (QUT) and BSc from Chittagong University of Engineering & Technology (CUET). His awards include QUT's HDR High Achiever and Outstanding Publication Awards. Research Interests: Sustainable construction materials (FRP composites, concrete, metallic/plastic materials), structural rehabilitation under seismic/impact loads, lunar construction materials, and self-healing concrete technologies. Collaborations with industries and governments drive his work. Awards: QUT HDR High Achiever Award (202X), QUT Outstanding Publication Award (202X), University Merit Scholarship (202X), Engr. Khurshid Anwar Memorial Award (202X). Grants/Funding: AU$1.2 million from ARC, federal government, and industry. Active in supervising postgraduate students and promoting interdisciplinary collaborations. Labs/Teams: Leading research in composite materials and structural engineering at the University of Adelaide, affiliated with the School's advanced materials research group.

Tommi Mikkolaمشاهده پروفایل

مدرس

• Fluid Mechanics
• Computational Fluid Dynamics
• Ship Hydrodynamics
• +۳ مورد دیگر

Tommi Mikkola is a University Lecturer in Fluid Mechanics at Aalto University, with a career spanning roles from summer trainee to postdoctoral researcher at the Ship Laboratory of Helsinki University of Technology. He focuses on advancing fluid mechanics education through systematic, student-centered approaches, emphasizing interactive learning and critical thinking. His research expertise includes computational fluid dynamics (CFD), ship hydrodynamics, and hydrodynamic interactions in maritime systems. Mikkola has contributed extensively to understanding ship stability, ice-structure interactions, and fluid-structure coupling in extreme conditions. His work bridges theoretical models with practical applications, addressing challenges like parametric roll resonance, air lubrication systems, and accidental load evaluations in maritime operations. His academic journey reflects a strong commitment to both education and research innovation. Current projects involve developing efficient numerical methods for predicting hydrodynamic behaviors, such as wave-structure interactions and slamming impacts. He collaborates on boundary element methods and FSI modeling to enhance ship design and safety standards. Despite no explicit mentions of awards or grants, his publications indicate active engagement in advancing naval architecture and marine engineering disciplines. Notable research interests include: optimizing computational models for marine systems, analyzing ship dynamics in extreme sea states, and improving teaching methodologies in fluid mechanics. His recent studies cover topics like energy-based ice load evaluation, two-way coupled FSI simulations for grounding incidents, and asymmetry in hull structural responses. These efforts aim to improve maritime safety, energy efficiency, and operational reliability through rigorous hydrodynamic analysis.

Olaf Landsiedelمشاهده پروفایل

استاد

• Distributed Systems
• Wireless Sensor Networks
• Peer-to-Peer Systems
• +۴ مورد دیگر

Olaf Landsiedel is a Full Professor and head of the Distributed Systems Group at Kiel University, where he leads research in distributed computing, wireless sensor networks, and peer-to-peer systems. He has been a key contributor to the field since joining COMSYS in 2006 and earning his PhD in 2010. His research interests center on enabling accurate, scalable, and energy-efficient network simulations and protocols. He focuses on bridging the gap between simulation and real-world deployment, improving timing accuracy, modeling power consumption, and designing robust communication for unstable wireless environments. His work emphasizes modularity, flexibility, and reliability in distributed systems. The 15 most recent publications reflect a strong trend toward enhancing simulation fidelity, addressing bursty wireless links, enabling dynamic software updates in sensor networks, and developing tools for realistic experimentation. His work spans both theoretical models and practical implementations, often validated through simulation frameworks and testbeds. Olaf Landsiedel has advised numerous students on topics ranging from routing protocols to modular communication frameworks and ontology design, primarily during his time at RWTH Aachen University. While no specific grants are mentioned, his sustained publication record suggests consistent research funding and collaborative projects. He leads the Distributed Systems Group, which conducts cutting-edge research in network simulation, protocol development, and sensor network reliability. The group's work includes tools like KleeNet for bug detection and Horizon for parallel simulation, indicating a strong focus on practical system building and validation.

• Supply Chain Management
• Operations Management
• Sustainable Supply Chains
• +۹ مورد دیگر

Kuntal Bhattacharyya is an Associate Professor in the Department of Marketing and Operations at the Scott College of Business, Indiana State University. He has held significant administrative roles including Department Chairperson (2018–2021) and currently serves as Executive Director (2021–present). He also directs the Center for Supply Management Research (CSMR), fostering industry-academia collaboration. Education: Ph.D., Operations Management (Information Systems Minor), Kent State University, 2011 M.B.A., Management (Minor in Applied Statistics), The University of Akron, 2005 M.S., Electrical Engineering (Semiconductor Fabrication), The University of Texas at Arlington, 2003 B.S., Electrical & Electronics Engineering, BIET, 2000 His research spans Supply Chain Management , Sustainable Supply Chains , Supply Chain Risk Management , and Global Sourcing . He integrates quantitative modeling, blockchain, and Six Sigma methodologies to solve real-world operational challenges. His expertise is reflected in courses such as Global Sourcing (OSCM 455/555), Strategic Supply Chain Decisions (PMBA 612), and the capstone Global Supply Chain Management (OSCM 490). The 15 most recent publications reveal a strong focus on supplier performance modeling , blockchain in supply chains , conflict mineral tracking , and resilience through technology . These works span disciplines including operations research, sustainability, service quality, and humanitarian logistics, demonstrating interdisciplinary depth and practical relevance. Scientific Awards and Honors: Career Readiness Advocate (2020) Dean's Achievement Award (2018) Best Paper Award, Academy of Business Review (2016) Teaching Excellence Award (2015) Outstanding Academic Advisor Award (2017) Summer Research Grants and multiple internal funding awards Dr. Bhattacharyya has secured numerous grants from Indiana State University and external foundations like the Wabash Valley Community Foundation, supporting student research and center development. He actively mentors students through research projects and capstone courses. He has served on key university committees related to strategic planning, diversity, faculty governance, and community engagement. His consulting experience with firms like Toyota Material Handling and Masterbrand Cabinets further strengthens his applied perspective. He leads the Center for Supply Management Research (CSMR) , which serves as a hub for supply chain innovation, student experiential learning, and industry partnerships. The center has received continuous internal funding, reflecting its institutional importance.

• MEMS (Micro-Electro-Mechanical Systems)
• Biosensors
• Biomedical Instrumentation
• +۸ مورد دیگر

Yiğit Dağhan Gökdel is an Associate Professor in the Department of Electrical and Electronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. He serves as the Chair of the department and advisor to the Rector. His work bridges engineering, biomedical instrumentation, and microsystems, with a strong focus on MEMS, biosensors, and optical devices. He leads the Microsystems Research Group and the Biosensors Research Group, and has coordinated numerous funded research projects from TÜBİTAK and institutional grants. Education: Postdoctoral Research Associate, Biomedical Engineering, University of Texas at Austin, 2012 PhD, Electrical and Electronics Engineering, Bogazici University, 2011 MS, Electrical and Electronics Engineering, Bogazici University, 2007 BS, Electrical and Electronics Engineering, Bilkent University, 2004 His research centers on the design, fabrication, and application of MEMS-based sensors and systems for biomedical and industrial use. Key areas include disposable biosensors for toxin detection, soft robotics sensors, laser scanning confocal microscopy, and structural health monitoring of wind turbines. His work integrates materials science, microfabrication, and system integration for real-world deployment. The 15 most recent publications highlight a consistent trend in developing miniaturized, low-cost, and often disposable MEMS devices for healthcare and environmental monitoring. Topics span piezoresistive sensors, 3D-printed scanners, optical imaging systems, and IoT-enabled monitoring, reflecting a multidisciplinary approach combining electrical engineering, materials, and biomedical applications. Scientific Awards: BAP, Bogazici University Best Dissertation Award, Jun. 2011 He has successfully led multiple research grants, including TÜBİTAK projects on smart home platforms, paper-based biosensors, and biopsy catheters for early cancer detection. He has advised over 18 graduate students, including one PhD and numerous Master’s theses. His leadership extends to editorial roles, program coordination, and institutional governance. Dr. Gökdel leads two active research groups: the Microsystems Research Group and the Biosensors Research Group. These teams focus on developing innovative MEMS solutions for medical diagnostics, industrial monitoring, and robotics, often leveraging 3D printing and low-cost fabrication techniques.

• Pediatric Physiotherapy
• Neurodevelopmental Disorders
• Cerebral Palsy
• +۱۲ مورد دیگر

Bülent Elbasan is a faculty member at the Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Gazi University, Ankara, Turkey. He is a prominent researcher in pediatric rehabilitation, with a strong focus on neurodevelopmental disorders, particularly cerebral palsy and high-risk infants. His research interests span motor development, sensory processing, trunk and postural control, gait analysis, family-centered interventions, and the psychometric validation of clinical assessment tools in pediatric populations. He has led numerous studies on the effectiveness of various physiotherapy interventions, including orthoses, Pilates, stretching techniques, and post-Botulinum toxin rehabilitation. The analysis of his 15 most recent articles reveals a consistent focus on improving functional outcomes in children with cerebral palsy , validating assessment tools for Turkish populations (e.g., GOAL, VFCS), and exploring early predictors of neurodevelopmental disorders in preterm infants. His work often employs rigorous methodologies such as randomized controlled trials and psychometric validation studies. Dr. Elbasan has made significant contributions to the field through his extensive publication record in high-impact, peer-reviewed journals indexed in SCI and SSCI. His collaborative research network includes colleagues from Gazi University and other leading Turkish institutions. He is actively involved in mentoring and advising, as evidenced by his frequent co-authorship with doctoral and early-career researchers. His work also addresses broader issues in healthcare delivery, such as the adoption of telerehabilitation in developing countries and the challenges faced by caregivers of children with special needs. Dr. Elbasan is affiliated with research groups focused on early intervention (e.g., SAFE approach), neurorehabilitation, and the development of evidence-based clinical practices in physiotherapy.

• Signal and Information Processing
• Energy Disaggregation
• Non-Intrusive Load Monitoring (NILM)
• +۱۵ مورد دیگر

Professor Vladimir Stankovic is a leading academic in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde, UK. His research focuses on signal and information processing to tackle global sustainability challenges such as energy efficiency, net-zero transition, electrification of transport, and landslide monitoring. He is actively involved in multiple high-impact research initiatives and holds leadership roles in major AI and engineering conferences. PhD (Dr-Ing), University of Leipzig, Germany, 2003 MEng (Dipl-Ing), Electrical Engineering, University of Belgrade, 2000 His research interests center on applying signal processing and AI to smart homes, micro-seismic analysis, health monitoring, remote sensing, and computer vision. He has developed innovative methods in energy disaggregation, graph signal processing, and interpretable machine learning. His work bridges engineering with sustainability, contributing to UN Sustainable Development Goals. He teaches core courses including image/video processing, communication systems, signals and systems, and information theory. The recent publications highlight a strong trend in applying AI and machine learning to energy analytics in buildings and agriculture (e.g., dairy farms), landslide monitoring using seismic data, and equitable EV charging planning. These works leverage advanced techniques such as graph neural networks, transformers, and human-in-the-loop deep learning, demonstrating a consistent focus on real-world impact, interpretability, and sustainability. He has received notable scientific awards: Finalist of the World first 10K Best paper Award (Top 3%) IEEE Multimedia Signal Processing Workshop (MMSP) top 10% best paper award 2010 Professor Stankovic has been a Principal or Co-Investigator on numerous research and knowledge exchange projects, including JED-AIs (Justice, Energy, Demand flexibility and AI for Sustainability), REMINDA, and multiple Digital Dairy Chain Innovation Vouchers. These projects are funded by EPSRC and other UKRI councils, focusing on AI-driven energy analytics, community energy sharing, and sustainable farming. He serves in key editorial roles, including Area Editor for IEEE Transactions on Communications and Associate Editor for Nature Scientific Data, and has organized major conferences such as IEEE MMSP 2017 and IJCNN 2025. He is actively involved in research teams and collaborative networks focused on AI for sustainability, energy systems, and environmental monitoring. His lab works on datasets such as the Plegma Dataset and REFIT, supporting open science in energy and seismic analytics.

Fatime BALKAN KIYICIمشاهده پروفایل

استاد

• Science Education
• Environmental Education
• Informal Learning Environments
• +۷ مورد دیگر

Prof. Dr. Fatime BALKAN KIYICI is a faculty member at Sakarya University, Faculty of Education, Department of Mathematics and Science Education. She is an active professor in the field of science education, teaching both undergraduate and graduate courses such as Science Education I/II, Teaching Practice, Environmental Education, and specialized graduate seminars. Her research interests include Science Education , Environmental Education , Informal and Out-of-School Learning Environments , Teacher Training , Technology Integration in Education , and Curriculum Development . She has conducted comparative studies on science curricula in Turkey and Brazil, developed scales for environmental awareness and out-of-school learning, and explored the use of zoos, museums, and nature trips in science instruction. Her recent publications (2020–2024) emphasize socio-scientific issues, sustainable development, Web 2.0 tools, and the impact of informal learning on student achievement and environmental awareness. She has published in journals indexed by SSCI, Scopus, and TRDizin, including Education and Information Technologies , Children & Society , and Sakarya University Journal of Education . She has supervised at least one master’s thesis and has contributed to national research projects related to nature education and science centers. Her work demonstrates a strong commitment to improving science teaching through innovative, real-world, and technology-enhanced approaches. Supervised Student: Melike Yavuz (2011, Master’s Thesis on Zoo Use in Science Education) Prof. Balkan Kiyici has also developed and taught numerous graduate-level courses, including Problems in Science Education Research , Comparative Science Education Programs , and Specialization Field Courses at both master's and PhD levels. She actively contributes to academic service through conference presentations and curriculum development.

• Macroeconomics
• Economic Surveys
• Time Series Economics
• +۷ مورد دیگر

Dr. Klaus Wohlrabe is a Scientific Assistant and Deputy Director of the ifo Center for Macroeconomics and Surveys at the ifo Institute for Economic Research, where he also serves as Head of Surveys. His work focuses on the methodology and evaluation of the ifo business surveys, economic analysis, bibliometrics, efficiency measurement, and time series economics. He has been actively involved with the ifo Institute since 2000, initially as a tutor in macroeconomics and economics before transitioning into his current research and leadership roles. His research interests span a wide range of topics in applied economics, with a strong emphasis on survey methodology, business cycle analysis, and economic forecasting. He has made significant contributions to understanding the mechanics of the ifo Business Climate Index, the representativeness of business surveys, and the impact of external shocks such as the Covid-19 pandemic and the war in Ukraine on firm behavior. His work in bibliometrics includes studies on journal rankings, citation patterns, co-authorship norms, and the efficiency of academic institutions. His recent publications, from 2020 to 2025, demonstrate a consistent and prolific output. The articles reveal a strong trend towards empirical analysis of survey data, particularly from the ifo Institute, to understand current economic conditions in Germany and globally. Key themes include business sentiment, labor markets, AI adoption, material shortages, and the economic implications of major events. His work often involves sophisticated statistical and econometric methods, including archetypoid analysis and efficiency measurement. Dr. Wohlrabe has collaborated with numerous researchers, including Lutz Bornmann, Robert Lehmann, and Stefan Sauer, on a wide array of projects. He has contributed to major policy reports, such as those on the economic costs of the Coronavirus shutdown and the competitiveness of German industry. He is a key figure in the development and dissemination of the ifo Institute's survey tools and findings, having co-edited the 'Handbook of ifo Surveys' and authored numerous sections on the ifo Business Climate Index, the ifo Employment Barometer, and other survey instruments. His work is instrumental in providing timely and reliable economic insights to policymakers, businesses, and the academic community.

• Electrical Machines
• Electric Motor Drives
• Fault-Tolerant Systems
• +۷ مورد دیگر

Professor Barrie Mecrow is a distinguished academic at Newcastle University's School of Engineering, Department of Electrical and Electronic Engineering. With over two decades of research experience, he has established himself as a leading expert in electrical machines, motor drives, and fault-tolerant systems. His work spans multiple application domains including aerospace, electric vehicles, and renewable energy systems. Professor Mecrow's research primarily focuses on the design, analysis, and control of advanced electrical machines. His expertise encompasses permanent magnet machines, switched reluctance motors, thermal management of electrical machines, and fault-tolerant drive systems. He has made significant contributions to understanding electromagnetic losses, improving torque density, and enhancing the reliability of electric drives in safety-critical applications. His recent work has particularly emphasized thermal management solutions for high-power density machines and advanced control strategies for multi-phase motor drives. Analysis of Professor Mecrow's publication record reveals a consistent focus on practical engineering solutions with strong industrial relevance. His research has evolved from fundamental machine design and analysis to integrated drive systems with particular emphasis on reliability, thermal management, and fault tolerance. The trend in his recent publications shows increasing attention to thermal challenges in high-power density machines, advanced control strategies for multi-phase drives, and innovative winding configurations for specialized applications. Professor Mecrow has supervised numerous PhD students who have gone on to become established researchers in their own right. His research has strong industry connections, particularly with aerospace and automotive sectors, as evidenced by the applied nature of his publications focusing on fault-tolerant systems for aircraft applications and electric vehicle traction motors.

• Functional Safety
• Functional Testing
• Microprocessor Testing
• +۹ مورد دیگر

Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.

• Artificial Intelligence
• Machine Learning
• Artificial Neural Networks
• +۱۹ مورد دیگر

Professor Stephan Chalup is a leading academic in Artificial Intelligence and Machine Learning at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Data Science and Statistics department. He leads the Interdisciplinary Machine Learning Research Group (IMLRG) and the Newcastle Robotics Lab , where his team has achieved global recognition, including two RoboCup world championships. PhD in Computing Science , Queensland University of Technology (2002) Diplom in Mathematics with Neuroscience , University of Heidelberg His research focuses on artificial neural networks , deep learning , and high-dimensional data analysis , with applications in robotics, computer vision, medical imaging, and architectural analysis. He investigates how biological neural systems inspire robust AI models, particularly in topological data analysis and 4D vision . The recent publications highlight a strong trend in topological and geometric machine learning , with a focus on 4D data analysis , multi-agent reinforcement learning , and robot perception . His work bridges theoretical AI with practical industry solutions in transport, healthcare, and robotics. RoboCup World Champion (2008, 2006) Leadership Excellence, CESE (2024) Supervision Research Excellence Award (2015) Multiple Best Student Paper Awards (2019, 2018, 2011) Chalup has supervised numerous students and led significant research projects, including the ARC Discovery Project on estimating topology of low-dimensional data. His lab fosters interdisciplinary collaboration and innovation, with alumni working in top global tech roles. He is an active keynote speaker and program committee member in major AI conferences. His labs, including the Newcastle Robotics Lab , are equipped with state-of-the-art robots and computing systems, supporting cutting-edge research in humanoid robotics, autonomous navigation, and AI-driven data analysis.

• Climate Science
• Extreme Weather Events
• Compound Climate Events
• +۷ مورد دیگر

Dr. Nina Ridder is a Research Associate at the Centre of Excellence for Climate Extremes (CLEX) at the University of New South Wales. Her research focuses on compound climate events, extreme weather, and their societal impacts. Her work spans disciplines such as Climate Science, Oceanography, Hydrology, and Atmospheric Rivers , with a strong emphasis on understanding interactions between extreme events. Recent studies highlight her expertise in CMIP6 climate models , ENSO and IOD teleconnections , and compound flood mechanisms . Selected trends in her publications include: Compound drought and heatwaves in Australia Storm surge and river discharge interactions Global mapping of multivariate climate risks Climate model validation for extreme events Climate change impacts on compound event frequency Her research has appeared in journals like Nature Communications , Geophysical Research Letters , and Frontiers in Earth Science , reflecting a multidisciplinary approach to climate risk assessment.

• Computer Networking
• Network Architecture
• Quality of Service
• +۴ مورد دیگر

Jordi Domingo-Pascual is a distinguished academic and researcher in the field of computer networking, affiliated with Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. With a publication record spanning nearly three decades from 1994 to 2022, he has established himself as a leading expert in network architecture, quality of service, and network performance analysis. His work has significantly contributed to advancements in networking technologies including Software-Defined Networking, Locator/Identifier Separation Protocol (LISP), and wireless network optimization. Dr. Domingo-Pascual's research primarily focuses on network architecture and performance , with specific expertise in: Quality of Service (QoS) mechanisms in heterogeneous networks Locator/Identifier separation protocols and their scalability Software-Defined Networking control plane optimization Wireless network capacity estimation and performance analysis Inter-domain routing and multicast solutions Traffic measurement and hidden traffic analysis His work bridges theoretical network models with practical implementations, often collaborating with industry partners to address real-world networking challenges. Throughout his career, Domingo-Pascual has evolved from early ATM network research in the 1990s to IP/MPLS integration in the 2000s, and more recently to Software-Defined Networking and network function virtualization. His most recent publications (2020-2022) show a strong focus on controller placement optimization, addressing critical challenges in network latency and reliability. This represents a natural progression from traditional networking protocols toward more modern, flexible network architectures that can adapt to evolving service requirements. Dr. Domingo-Pascual has mentored numerous researchers and collaborated extensively with colleagues across Europe and internationally. His research group at UPC has been particularly active in projects related to European Union-funded initiatives in networking technologies. While specific grant details aren't provided in the available information, his consistent publication record suggests sustained research funding throughout his career.

• Computer Systems Security
• Compilers
• Operating Systems
• +۳ مورد دیگر

V. N. Venkatakrishnan is a Professor and Associate Dean for Research and Graduate Studies at the College of Engineering, University of Illinois at Chicago. His research focuses on Computer Systems Security with applications in web security, exploit detection, and security automation. Education: Ph.D in Computer Science (2004), Stony Brook University Research Interests: Spanning Computer Systems Security , Venkatakrishnan's work integrates compilers , operating systems , and formal methods to develop defenses against cyber attacks. His recent publications emphasize automated attack detection, exploit generation, and security frameworks for web applications. Scientific Awards: Distinguished Paper Award at USENIX Security 2018 Best Paper Award at IEEE QRS 2016 2009 ATT Award for Best Applied Security Research Best Paper Award at ACSAC 2003 Advising and Collaborations: He has mentored numerous Ph.D. and M.S. students including Sadegh Momemi and Maliheh Monshizadeh. Former advisees include Birhanu Mekuria (now at University of Michigan) and Rigel Gjomemo (now Research Assistant Professor at UIC).