Jetmir Haxhibeqiri is a Postdoctoral Researcher at Ghent University 's Faculty of Engineering and Architecture , Department of Information Technology. His work focuses on Time-Sensitive Networking (TSN) over wireless systems, WiFi optimization, and Industrial IoT solutions. Key projects: IMEC Postdoctoral Fellowship Collaborations: Jeroen Hoebeke (UGent), Ingrid Moerman (UGent), Xianjun Jiao (UGent) Research Interests : Wireless network coordination, SDN integration for heterogeneous networks, low-latency communication, and machine learning applications in network optimization. Specialized in WiFi-LPWAN coexistence , In-Band Network Telemetry , and Cross-Technology Synchronization . Recent Publications : 2025 work on Wi-Fi-UWB synchronization, 2024 studies on coordinated spatial reuse in WiFi 7, and 2022 research on hardware-efficient PTP clock synchronization. Contributions span from theoretical models to practical implementations in industrial environments. Technical Expertise : Network densification strategies, interference management, and performance evaluation of large-scale wireless deployments. Developed simulation frameworks for LoRaWAN and WiFi TSN, with a focus on ns-3 validation. Education : PhD in Industrial Wireless Communication (2019, Ghent University).
Liji Shen is Professor of Operations Management and Chairholder at WHU – Otto Beisheim School of Management, Campus Vallendar, Germany. She is affiliated with the Supply Chain Management Group and leads research in scheduling, optimization, and sustainable manufacturing. Her academic journey includes a Ph.D. and Habilitation from Technische Universität Dresden, and she has held visiting scholar positions at institutions including École des Mines de Saint-Étienne and Huazhong University of Science and Technology. Ph.D. (Dr.rer.pol.), summa cum laude, Technische Universität Dresden (2009) Habilitation, Technische Universität Dresden (2015) Master of Business Administration (Dipl.-Kffr.), Technische Universität Dresden (2006) Liji Shen's research focuses on Operations Management , particularly scheduling optimization in manufacturing systems. Her work spans flexible job shops , parallel machine scheduling , energy-efficient production , and sequence-dependent setup times . She applies advanced techniques such as evolutionary algorithms , hybrid metaheuristics , and mathematical programming to solve complex industrial problems. Her recent publications emphasize sustainability through energy-aware scheduling and time-of-use pricing models. The 15 most recent publications highlight a consistent research trajectory in production scheduling , with increasing emphasis on energy efficiency , distributed manufacturing , and real-world constraints like eligibility and delivery times. Her work frequently appears in top journals such as European Journal of Operational Research , IEEE Transactions on Evolutionary Computation , and Computers & Operations Research , often in collaboration with leading researchers like Dauzère-Pérès, Mönch, and Buscher. Scientific Awards: European Journal of Operational Research, Best Paper Award (2021) DFG and TU Dresden, 'Support the Best' Prize for Outstanding Researchers (2013) Dr. Feldbausch-Prize for Best Dissertation, TU Dresden (2010) Scholarship for Young Researchers in Saxony (2006–2009) DAAD Prize for Best Foreign Students (2007) Best Master’s Thesis, German Operations Research Society (2007) Liji Shen has been an active advisor and researcher, leading projects in operations research and industrial optimization. Her editorial role on Operations Research Perspectives underscores her standing in the academic community. She has directed research labs and collaborated internationally, contributing to both theoretical advancements and practical applications in manufacturing and logistics. No specific grants are mentioned, but her sustained publication record and leadership roles indicate strong research support. She leads the Operations Management research group at WHU, focusing on algorithmic solutions for complex scheduling problems. Her team investigates energy-aware production, hybrid flow shops, and distributed systems, aiming to bridge the gap between theoretical models and industrial implementation. The lab collaborates with researchers across Europe and China, fostering a global research network in operations research and supply chain management.
Carlee A. Bishop is a Professor of Physics at Agnes Scott College, located in the Department of Physics within the College of Arts and Sciences. She holds a PhD in Electrical Engineering from Auburn University, an MS from Georgia Institute of Technology, and a BS from the U.S. Air Force Academy. Her academic and professional work bridges physics, engineering, and systems thinking. Her educational background includes: BS in Electrical Engineering, U.S. Air Force Academy MS in Electrical Engineering, Georgia Institute of Technology PhD in Electrical Engineering, Auburn University Dr. Bishop's research and teaching focus on experiential learning in STEM, employing case studies, problem-based learning, and experimentation platforms. Her interests include systems thinking, ethical use of technology and data, and managing emerging technologies. She emphasizes decision-making and problem-solving skills in engineering education. The recent publications reflect a strong trend in systems engineering applied to defense, disaster response, and acquisition systems. Her work integrates modeling, simulation, and lifecycle management, with applications in military robotics, humanitarian logistics, and procurement optimization. The interdisciplinary nature of her scholarship connects engineering, ethics, and real-world operational challenges. Her professional affiliations include: INCOSE (International Council on Systems Engineering) Member Certified Systems Engineering Professional (CSEP) IEEE (Institute of Electrical and Electronics Engineers) Member Dr. Bishop has contributed to significant tutorials and workshops at INCOSE symposia and military capstone events. She has advised on systems engineering best practices, autonomy in defense robotics, and disaster response logistics. While no formal list of advisees is provided, her leadership in capstone projects and professional tutorials indicates active mentorship and educational outreach. She has not received any explicitly mentioned scientific awards. She is involved in academic and professional teams related to systems engineering, particularly through INCOSE and IEEE. Her work with military and disaster response systems suggests collaboration with interdisciplinary teams focused on national security and humanitarian applications.
Pierre Bellec is an Associate Professor in the Department of Statistics at Rutgers University, where he has been a faculty member since 2016 and was promoted to Associate Professor with tenure in 2021. His office is located in Hill Center 406 at 110 Frelinghuysen Road, Piscataway, NJ 08854. Dr. Bellec received his PhD from ENSAE ParisTech, France in 2016 under the supervision of Alexandre Tsybakov. Prior to that, he completed a Part III (MASt) at the University of Cambridge, UK in 2012 and earned his Diplôme d'Ingénieur from Ecole Polytechnique, France in 2011. Dr. Bellec's research focuses on high-dimensional statistics, aggregation of estimators, shape constrained problems in statistics, and probability theory. His work has significant implications for machine learning and statistical inference in high-dimensional settings. He has made important contributions to regularization methods, M-estimators, and uncertainty quantification in complex statistical models. His recent publications show a strong focus on asymptotic theory, robust statistics, and high-dimensional inference, with novel methods for error estimation, adaptive tuning, and bias correction in regularized estimators. Dr. Bellec has received several prestigious awards and honors, including: IMS Fellow (2023) NSF CAREER award DMS 1945428: "Post-Differentiation Inference" (2020-2024, $400,000) NSF award DMS 2413679: "Uncertainty quantification for iterative algorithms" (2024-2027, $225,000) NSF award DMS 1811976: "Uncertainty Quantification in High-Dimensional Structured Regression Problems" (2018-2022, $180,000) Blaise Pascal PhD Award (2017) Dr. Bellec has advised several graduate students, including Takuya Koriyama (now at Chicago Booth), Yiwei Shen (now at Meta/Facebook), and Kai Tan (current PhD student). He has also mentored numerous undergraduate students through REU programs. He serves as an Associate Editor for the Annals of Statistics and has been involved in program committees for major conferences including the Conference on Learning Theory (COLT) and the Conference on Neural Information Processing Systems (NeurIPS).
Mengqiu Cao is a Lecturer in Urban Systems Predictive Analytics and Machine Learning at the University College London (UCL) within the Bartlett School of Environment, Energy and Resources . He integrates academia and industry expertise to advance interdisciplinary research at the intersection of transport analysis and urban studies. Research Focus : Sustainable transport, urban mobility, logistics, social equity, and low carbon transitions. Teaching : Coordinates modules on climate sciences, data-driven consumer behavior analysis, and transport policy. Awards : Holds fellowships with the Royal Geographical Society, Royal Statistical Society, and Royal Society of Arts. Publications : Recent works examine green space impacts on mobility, equitable EV charging access, dockless bike-sharing patterns, and 15-minute city frameworks.
Dr. Kezban Yagci Sokat is an Assistant Professor of Business Analytics at San José State University's Lucas College and Graduate School of Business. She also holds a Research Associate position at the Mineta Transportation Institute. Ph.D. in Industrial Engineering and Management Sciences from Northwestern University (2017) M.S. degrees in Industrial Engineering from Istanbul Technical University (2006), Industrial and Systems Engineering from Georgia Institute of Technology (2008), Health Systems Engineering from Georgia Institute of Technology (2010), and Industrial Engineering and Management Sciences from Northwestern University (2012) Her research applies mathematical modeling and decision analytics to combat human trafficking, optimize humanitarian logistics, and improve public health outcomes through interdisciplinary collaboration. She has received government and organizational recognition including support from the United States Department of Transportation and IBM partnerships, with affiliations across three major research institutes.
Kathryn Nowotny is an Associate Professor in the Department of Sociology at the University of Miami, College of Arts and Sciences. Her work focuses on the intersection of public health and mass incarceration, particularly addressing health inequities among criminal legal-involved populations. Current faculty at University of Miami Director of Miami Health and Justice Lab Research centers on carceral systems and health outcomes Her research examines HIV prevention, reproductive justice, maternal health disparities, and trauma-informed interventions in carceral settings. She collaborates with interdisciplinary teams to implement community-engaged strategies. Recent publications highlight her work on peer-led programs in jails, structural barriers to healthcare during reentry, and the impact of mass incarceration on birth outcomes. Her lab's interventions in Mexico City use projection mapping for harm reduction education. Notable methodologies include community-based participatory research, ecological modeling, and flexible diary-interview approaches. She advocates for policy reforms to address systemic inequities linked to incarceration.
Laurence S. Magder, PhD, serves as Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine, where he has held continuous faculty positions since 1994 after progressing from Assistant to Associate to full Professor. With over 30 years of biostatistical expertise, he has contributed to nearly 200 biomedical publications through collaborative research across diverse health domains. Educational background includes: PhD in Biostatistics, Johns Hopkins University (1994) Master of Public Health, University of Michigan (1983) His research program centers on developing accessible statistical methodologies for real-world biomedical challenges. Key specialties include longitudinal data analysis, handling misclassified/missing data, transmission probability modeling, and systemic lupus erythematosus applications. Magder actively promotes a paradigm shift in statistical practice—advocating for evidence quantification over rigid hypothesis testing frameworks, which he argues renders traditional concerns like one-sided tests and multiple comparisons adjustments largely obsolete in scientific decision-making. Publication analysis reveals consistent methodological innovation across infectious disease modeling, diagnostic test evaluation, and missing data solutions. His work prioritizes practical applicability, translating complex statistical theory into tools usable by non-statisticians while maintaining rigorous evidence standards. Recurring themes include simplification of analytical approaches and contextual interpretation of statistical evidence within broader scientific judgment. As a collaborative biostatistician, Magder has supported numerous biomedical research projects throughout his career, though specific advising relationships and grant details remain undocumented in available sources. His role exemplifies the critical contribution of statistical expertise to advancing medical and public health research through both methodological development and direct project consultation.
Professor Stefan Thor Smith is a distinguished academic at the University of Reading , serving as a Professor in the Department of Energy and Environmental Engineering . His work bridges energy systems with urban sustainability , focusing on the integration of social and technical aspects of energy demand , urban energy system modeling , and climate change resilience . Academic Qualifications Postgraduate Certificate in Academic Practice (University of Reading, 2016) PhD in Built Environment (University of Nottingham, 2009) MSc in Computer Science (University of Glasgow, 2002) BSc in Physics (University of Nottingham, 2001) His research interests span the dynamics of energy demand in socio-technical systems, urban heat fluxes, pollution exposure modeling, and climate adaptation strategies. He has developed novel models for energy demand-side management , building environmental control , and urban climate interactions . Recent publications highlight his expertise in areas such as EV charging infrastructure , urban tree radiative performance , phase change material storage , and anthropogenic heat emissions . His work often involves interdisciplinary collaborations with institutions like the Centre for Research into Energy Demand Solutions and the Institute of Physics . Smith supervises a diverse group of postgraduate students and contributes extensively to teaching modules including Numerical Modelling and Programming and Urban Sustainability . His professional affiliations include the Institute of Physics , International Association of Urban Climatology , and the Higher Education Association .
Andrea Genovese is a Professor of Logistics and Supply Chain Management and holds the Chair in Logistics and Supply Chain Management at Sheffield University Management School (SUMS). He is currently Head of the Operations Management and Decision Sciences Subject Group. Since joining SUMS in February 2010, he has held roles including Research Associate, Lecturer, and Senior Lecturer. Education: PhD in Operational Research – University of Naples "Federico II" (Italy) MSc and BSc in Industrial Engineering – University of Naples "Federico II" (Italy) MBA – Whittemore School of Business and Economics, University of New Hampshire (USA) Research Interests: Andrea's research is centered on the development and application of decision support methodologies to address complex challenges in supply chain management. His work particularly emphasizes the environmental and social sustainability of logistics and production systems. He explores multi-criteria decision-making techniques, circular economy transitions, and sustainable supply chain design. His research spans both qualitative and quantitative paradigms and is applied across industries including construction, urban logistics, and energy systems. Research Projects: He currently leads as Principal Investigator on two major EU-funded projects: ProSFeT (Promoting Sustainable Freight Transport in Urban Contexts): A H2020 MSCA-RISE project focused on knowledge transfer for sustainable urban logistics. ReTraCE (Realising the Transition towards a Circular Economy): A H2020 MSCA-ITN project developing a doctoral training network for circular economy implementation across Europe. Scientific Awards and Recognition: Fellow of the Higher Education Academy (HEA) Best-practice teaching methodologies featured in HEA toolkit for early career lecturers Teaching and Supervision: Andrea is actively involved in teaching and curriculum development for the MSc in Logistics and Supply Chain Management. He leads modules such as Logistics Systems , Global Supply Chain Leadership , and Supply Networks Management . He has supervised numerous PhD students, including recent graduates working on circular economy transitions and supply chain modeling. Labs and Research Groups: He is affiliated with the Supply Chain, Operations and Logistics Applied Research Centre at the University of Sheffield, where he contributes to training and consultancy in logistics and supply chain management.
Benjamin Lubin is a Clinical Associate Professor in the Information Systems Department at Boston University's Questrom School of Business. He holds office 621A in the Rafik B. Hariri Building at 595 Commonwealth Avenue, Boston, MA 02215. His academic journey began with a Bachelor's degree in Computer Science from Harvard University in 1999, followed by six years working at BBN Technologies, where he contributed to advanced multi-agent modeling, scheduling, and logistics systems. He later returned to Harvard to complete his Ph.D. at the intersection of computer science, game theory, and economics. Dr. Lubin's research spans three primary areas: (1) mechanism design, particularly combinatorial auctions and exchanges that support efficient reallocation of goods with complex participant preferences; (2) application of spectral graph theory to advance social network analysis; and (3) leveraging network science and machine learning to improve healthcare delivery systems. His work demonstrates a consistent pattern of bridging theoretical computer science with practical economic applications, with recent publications showing increasing focus on healthcare applications while maintaining strong contributions to auction theory and network analysis. His research has been supported by significant funding from NIHCM and the Veterans Administration, and he has received prestigious recognition including the Siebel Fellowship and Yahoo Key Technical Challenge award. Dr. Lubin has mentored numerous graduate students including PhD candidates Vatche Ishakian, Marisabel Guevara, and Sarah Zheng, as well as Master's students Benedikt Buenz and Michael Weiss. Siebel Fellowship Yahoo Key Technical Challenge award As an educator, Dr. Lubin teaches several courses including IS 710 (Core MBA Class on Information Systems), IS 716 (Accelerated Part-Time Evening MBA), IS 717 and IS 756 (MSMBA Intensives), and QD601x (Business Experimentation on edX). His teaching materials include innovative approaches like using adventure games to teach web development and creating practical exercises for understanding analytics in business contexts. He has developed several software tools including JOpt for MIP programming, the Iterative Combinatorial Exchange market software, InvEigen for inverse eigenvector problems, SpectralGOF for network model goodness-of-fit testing, and SATS for spectrum auction instance generation.
Prof. Jörn Meissner, PhD, is a Full Professor of Supply Chain Management & Pricing Strategy at Kühne Logistics University (KLU) since 2011. He holds a PhD and Master’s in Management Science from Columbia Business School and a Diploma in Business from University of Hamburg . As an academic and entrepreneur, he founded Manhattan Review and Lancaster Executive . Education: PhD in Management Science, Columbia University (2005) Master of Philosophy, Columbia University (2005) Diplom-Kaufmann, University of Hamburg (1997) Research Expertise: Focus on stochastic and dynamic decision-making using mathematical optimization and machine learning Key projects: Global supply chain optimization , Inventory control , Revenue management , and Operations & service management Industry collaborations with British Telecom , British Airways , Apple Europe , and SAP Germany Publication Trends: Recent work addresses intermittent demand forecasting for spare parts, lateral transshipment optimization , and risk-sensitive capacity control Historical contributions include progressive interval heuristics for multi-item lot sizing and dynamic pricing with customer choice models Teaching Experience: Previously held academic positions at Lancaster University Management School , University of Hamburg , and University of Mannheim Developed MBA electives in Advanced Decision Models , Supply Chain Management, and Revenue Management
Jesse M. Keenan is the Favrot II Associate Professor of Sustainable Real Estate and Urban Planning at Tulane University's School of Architecture and Built Environment. As Director of the Center on Climate Change and Urbanism, he bridges climate science, real estate, and urban policy to address climate adaptation and mitigation in the built environment. Formerly at Harvard Kennedy School, Columbia University, and Oxford University Contributor to IPCC, U.S. National Climate Assessments, and FEMA reform debates His research spans climate finance , resilient infrastructure , climate gentrification , and policy innovation . He pioneered concepts like 'Bluelining' and 'Climate Intelligence Arms Race' that influence global adaptation strategies. Media outlets like The New York Times and BBC frequently cite his work. Recent publications focus on compound climate hazards , cyber-physical resilience , and equity in adaptation planning . He has held advisory roles for the U.S. Commodity Futures Trading Commission, Federal Reserve Bank of San Francisco, and the Obama administration's Climate Action Plan. Scientific awards include PREA Scholar and Harvard Visiting Fellow Executive Producer of America Adapts podcast (Webby Honoree)
Vince Castillo serves as an Assistant Professor in the Department of Marketing & Logistics at The Ohio State University's Max M. Fisher College of Business, where he bridges academic research with industry applications in supply chain innovation. His work addresses critical modern challenges including last mile delivery optimization, sustainable operations, and AI integration, with media features on NPR's Marketplace and The World from PRX highlighting his practical impact. His academic foundation includes: PhD in Supply Chain Management from the University of Tennessee (2018) MBA in Supply Chain Management and Finance from the University of San Diego (2014) BS in Civil Engineering from the Colorado School of Mines (2006) Dr. Castillo's research portfolio demonstrates exceptional focus on human-centered logistics and resilient supply chains . Key themes include: Technology Integration : Applying AI and simulation modeling to optimize delivery networks and educational frameworks Sustainability Transformation : Developing frameworks for ethical sourcing and carbon footprint reduction Geopolitical Adaptation : Analyzing supply chain vulnerabilities in conflict zones like Ukraine Behavioral Dynamics : Studying driver engagement and customer tipping effects in gig economy platforms His publication trajectory from 2018-2025 reveals accelerating innovation, particularly in generative AI applications for supply chain education and real-time adaptation to geopolitical disruptions. Recent work emphasizes the interdependence of technological solutions and human factors in achieving operational resilience. Professor Castillo actively shapes future supply chain leaders through courses including Logistics Analytics (BUSML 4382), Supply Chain Sustainability and Resilience (BUSOBA 7395), and Building a Sustainable Supply Chain (BUSML 4385). His industry-engaged teaching approach prepares students for complex challenges in e-commerce operations, risk management, and sustainable logistics strategy implementation.
Jeffrey S. Russell is a Vice Provost for Lifelong Learning, Dean of the Division of Continuing Studies, and Professor of Civil and Environmental Engineering at the University of Wisconsin–Madison. He leads initiatives for lifelong learners, nontraditional students, and online degree programs, including precollege, summer, and international student partnerships. His academic career spans teaching, research, and leadership in construction engineering and project management. Education: Ph.D. and MS in Civil Engineering from Purdue University, BS from the University of Cincinnati. Dr. Russell’s research focuses on construction management , innovative project delivery systems , and construction automation and robotics . His work addresses challenges in project scheduling, resource allocation, and diversity in engineering education. Google Scholar highlights his contributions to out-of-sequence construction analysis, project readiness models, and PM competency frameworks. His publications emphasize agile methodologies , risk mitigation , and data-driven decision-making in construction. These works span themes like project lifecycle optimization , team collaboration , and educational reform . Scientific Awards: ASCE OPAL Lifetime Achievement Award, NSF Presidential Young Investigator, ASEE Glen L. Martin Best Paper Award, and multiple ASCE and NSPE honors. Dr. Russell mentors students and professionals, advocating for lifelong learning and diversity in engineering . He co-founded UW–Madison’s Construction Engineering and Management Program and has received recognition for teaching and leadership, including ASCE’s Distinguished Member and Huber Prize.
