Vittorio Solina is a Researcher at the Department of Mechanical, Energy and Management Engineering (DIMEG) of the University of Calabria, specializing in industrial systems simulation and digital twin technologies. His work spans Industry 4.0/5.0 applications, supply chain optimization, and human-robot collaboration. Affiliation: University of Calabria Academic Role: Researcher (Legge 240/10) Research Focus: Digital twins, simulation modeling, sustainable manufacturing His research emphasizes advanced simulation tools for decision support, including applications in Industry 4.0 , Smart Manufacturing , and Agri-Food Supply Chains . Recent work explores adaptive simulation optimization for Industry 5.0 and 5G-enabled robotics. Key publication trends include: (1) Digital twin integration for supply chain resilience (2024-2025), (2) Simulation automation methodologies (2025), and (3) Human-robot collaboration frameworks (2024).
Minh Q. Phan is an Associate Professor of Engineering at Dartmouth College's Thayer School of Engineering. His expertise spans system identification, iterative learning control, model predictive control, robotic swarm control, and intelligent control systems. He holds a BS from the University of California, Berkeley, and MS/M.Phil/PhD degrees from Columbia University in Mechanical Engineering. Dr. Phan has contributed to over 50 peer-reviewed publications and serves as an Associate Editor for the Journal of Guidance, Control, and Dynamics. His research focuses on advancing control theory applications in robotics, structural health monitoring, and sustainable construction materials. Key contributions include the development of OKID (Observer/Kalman Filter Identification) methods and bilinear system identification frameworks. Education History: Bachelor of Science in Mechanical Engineering, UC Berkeley, 1985 Master of Science in Mechanical Engineering, Columbia University, 1986 Master of Philosophy in Mechanical Engineering, Columbia University, 1988 Doctor of Philosophy in Mechanical Engineering, Columbia University, 1989 Research Interests: Advanced control methodologies for dynamic systems Model-based predictive control strategies Applications in robotics and aerospace engineering Structural health monitoring via system identification Machine learning for materials science Teaching Responsibilities include courses like ENGG 149 (Systems Identification), ENGS 145 (Modern Control Theory), and ENGG 148 (Structural Mechanics). His work bridges theoretical control systems with practical industrial applications, including automation in food processing and sustainable construction practices. Dr. Phan has collaborated on projects addressing viral epidemiology in Vietnam and coastal erosion mitigation strategies.
Tanzeem Choudhury is a Professor at the Jacobs Technion-Cornell Institute at Cornell Tech, specializing in Information Sciences. She co-founded HealthRhythms Inc. and directs the People-Aware Computing lab, focusing on machine learning for human activity and social network analysis. Her work pioneered the 'Reality Mining' field, leveraging mobile sensors to model social interactions. Choudhury holds a Ph.D. from MIT's Media Lab and B.S. in Electrical Engineering from the University of Rochester. Her research spans wearable tech, mental health interventions, and ubiquitous computing. Notable projects include affective touch wearables for anxiety reduction, stress detection systems (e.g., StressSense), and the BeWell app for well-being monitoring. Choudhury has been recognized as an ACM Fellow and SIGCHI Academy member, with impactful contributions to healthcare technology and sensor-based behavioral analysis. Current lab initiatives include developing closed-loop interventions for mental health, equity-driven sensing systems, and exploring AI integration in psychotherapy. She advises PhD students on topics like digital biomarkers, burnout detection in healthcare workers, and smartphone-based mental health assessment. Education: Ph.D. in Media Arts & Sciences (MIT), M.S. (MIT Media Lab), B.S. in Electrical Engineering (University of Rochester) Lab Team: Includes PhD candidates (Dan Adler, Yiran Zhao) and researchers focusing on health AI, wearable devices, and clinical applications. Major Awards: ACM Fellowship (2020), SIGCHI Academy (2018), Best Paper Awards at Ubicomp and MobileHCI conferences. Key Projects: OptoBeat (skin-tone calibrated blood oxygen sensor), EmotionCheck (anxiety intervention), and Affective Touch devices.
Darryl Jones is Professor at Griffith University's Centre for Planetary Health and Food Security, specializing in behavioral ecology and human-wildlife interactions. His research examines urban ecosystems, wildlife conflict resolution, and conservation strategies, with particular emphasis on bird ecology and road infrastructure impacts. Professor Jones has authored influential books including 'Feeding the Birds at Your Table' and 'A Clouded Leopard in the Middle of the Road' that bridge scientific research and public engagement. His work explores: Wildlife responses to urbanization Bird feeding practices and consequences Road ecology and mitigation design Human dimensions of conservation Koala-vehicle collision patterns Recent publications document COVID-19's impact on global bird feeding behaviors, analyze 20-year trends in koala road mortality, and evaluate LED streetlight effects on urban wildlife. He leads research on dingo population viability in Fraser Island and develops innovative wildlife monitoring technologies like the open-source WildWID RFID system. Professor Jones collaborates extensively with government agencies on conservation policy and has secured funding for projects examining wildlife crossing infrastructure effectiveness. His research informs evidence-based approaches to human-wildlife coexistence in rapidly changing landscapes.
Bobak Mortazavi is an Associate Professor in the Department of Computer Science & Engineering at Texas A&M University. His research focuses on medical analytics, machine learning, wearable sensors, and cyber-physical systems. He leads interdisciplinary projects in healthcare technology, including AI-driven diagnostics and predictive modeling for cardiovascular diseases. He has received notable awards such as the Best Demonstration Award at IEEE EMBS 2012 and the Best Paper Award at the Fourth International Conference on Data Analytics 2015. His work bridges machine learning with clinical applications, emphasizing practical solutions for healthcare challenges. Recent research includes developing AI tools for aortic stenosis detection, electrolyte estimation via ECG, and real-time patient monitoring systems. He collaborates with industry and academic partners to advance telemedicine and wearable health technologies. Key contributions include the SMART-LV project for smartphone-based cardiac diagnostics and the ArterialNet framework for blood pressure reconstruction using wearable sensors. His work is published in top journals like IEEE Journal of Biomedical and Health Informatics and Elsevier's Pervasive and Mobile Computing.
Dimitrios Skalkos serves as a Professor at the Department of Chemistry, University of Ioannina, holding the specific title of Professor of Innovation Management in Food Businesses. His office is located in building X2, room X2-206c on the Ioannina Campus (45110 Ioannina), and he leads the Food Chemistry Laboratory. He earned his Basic Degree in Chemistry from the University of Ioannina (1980-1985) followed by a Doctoral Degree from the University of Toledo, USA (1986-1989) with dissertation research on "Di- and Tetrahydroporphyrins: Syntheses and Antitumor Activities". Skalkos's research spans Food Business Management, Food Innovation, and Innovation Management, with specialized focus on Innovation & Entrepreneurship, Aromatic Plants, Innovative Foods, and Strategic Marketing. His work bridges academic research with industry applications in food systems, emphasizing Greek agricultural products and pandemic-era consumer behavior. His 36 publications (2020-2024) reveal strong trends in post-pandemic food innovation, consumer perception of traditional Greek foods, functional food development (particularly olive oil, cheese, and grape by-products), and sustainable agri-food supply chains. Key thematic clusters include traceability systems, bioactive properties of novel foods, and economic impacts on food choices. He has actively supervised Master's and PhD students through departmental presentations, directed 23 research programs, and organized 15 seminars and conferences. His laboratory website ( https://foods.chem.uoi.gr ) showcases ongoing food chemistry innovations.
Tim Althoff is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington, specializing in Artificial Intelligence and Human-Centered Computing. His research focuses on behavioral data science, combining Data Science Natural Language Processing Social Computing Human-Centered AI Ethics & Fairness to extract insights about health and well-being. Recent publications highlight advancements in: Mental health support through AI Wearable sensor health monitoring Online community analysis Reproducibility in data science Public health interventions with notable papers in ACL, Nature Machine Intelligence, and NeurIPS. Scientific recognition includes: ACL 2023 Outstanding Paper Award WWW 2021 Best Paper Award Double ICWSM 2021 Best Paper Awards SIGKDD Dissertation Award 2019 Fulbright Scholarship German National Merit Foundation Actively mentoring postdoctoral researchers and seeking PhD students in areas like neural representation learning, NLP applications to psychology, and mobile health technologies through his Behavioral Data Science Group .
Brendan Russo serves as an Associate Professor in the Department of Civil Engineering, Construction Management, and Environmental Engineering at Northern Arizona University, where he conducts influential research in transportation safety and traffic engineering. His work focuses on improving safety outcomes for vulnerable road users through rigorous analysis of crash data, traffic operations, and emerging mobility technologies, with significant contributions to Arizona-specific transportation challenges and national safety practices. Russo's research program centers on bicycle and pedestrian safety, crash severity analysis, and the integration of autonomous systems into transportation networks. He employs advanced methodologies including spatial analysis, statistical modeling (e.g., random parameters bivariate probit models), and observational studies to investigate traffic stress levels, intersection safety, and the impacts of infrastructure treatments. His work consistently bridges theoretical transportation engineering with practical applications for safer community design. Analysis of Russo's recent publications reveals a strong emphasis on emerging transportation technologies and their safety implications, particularly regarding autonomous delivery robots and vehicle-pedestrian interactions, while maintaining core focus on traditional safety concerns like bicycle crash frequency and severity. His research demonstrates increasing integration of spatiotemporal analysis and scenario-based testing methodologies, with a clear geographic concentration on Arizona metropolitan regions that provides valuable localized insights applicable to broader transportation contexts. No scientific awards were mentioned in the provided text. No specific information about advising responsibilities or grant funding was provided in the text, though his extensive publication record and dataset contributions indicate active research leadership. Russo collaborates within a robust research network centered on transportation safety, frequently partnering with colleagues including Gehrke, Smaglik, and Holliday on projects involving field data collection, bicycle infrastructure evaluation, and safety performance metrics. His work leverages both observational studies and simulation approaches to develop data-driven guidance for transportation practitioners, with particular attention to Arizona's unique transportation environment and metropolitan planning challenges.
Anna S. Mattila is the Marriott Professor of Lodging Management and serves as Professor-in-Charge of the Graduate Program at the School of Hospitality Management, Pennsylvania State University. Her research spans social media, service recovery, servicescape, prosocial behaviors, cross-cultural studies, and wellness in hospitality contexts. Education : B.S. and Ph.D. from Cornell University, M.B.A. from University of Hartford Mattila's work examines how emotions, cultural norms, and technological innovations like AI influence consumer decisions in hospitality. Her studies cover topics from robotic service interactions to sustainable food marketing and moral psychology in tourism. She has published extensively in journals such as International Journal of Hospitality Management and Journal of Consumer Marketing . Her recent articles focus on AI integration in hospitality, consumer trust in virtual influencers, upcycled food adoption, and the psychological effects of servicescape design. Key themes include ethical consumption, digital transformation, and cross-cultural consumer behavior. Advising : Supervised Anqi Luo's dissertation on service recovery in 2022 Mattila's office is located in 224 Mateer Building, University Park, PA. She contributes to advancing hospitality research through methodological consulting and the Penn State Biomarker Core Laboratory.
Prof. Dr. Jörg E. Drewes is a Full Professor and Chair at the Research Institute for Urban Water Management, Technical University of Munich (TUM), Germany. He also serves as Academic Program Director for Environmental Engineering at TUM and is a co-founder of Waterloop Solutions GmbH. His work spans advanced water treatment technologies, wastewater reuse, and environmental health surveillance. Affiliations : TUM, Colorado School of Mines, King Abdullah University of Science and Technology, UNSW Water Research Centre Research focuses on advanced oxidation processes , membrane fouling mitigation , micropollutant removal , and wastewater epidemiology for public health. His team develops integrated systems for water-energy-food nexus applications and graphene oxide-based treatment solutions. Recent publications address PFAS remediation , UVC-LED pre-treatment for biofouling control, and GIS-based wastewater surveillance models . Awards include the Bayerische Staatsmedaille (2023) and William Dunbar Medal (2022). 2023 : Bayerische Staatsmedaille 2022 : William Dunbar Medal 2018 : IWA Fellow He leads the Nexus@TUM initiative and contributes to EU water resilience strategies. Collaborations include projects in Germany, China, India, and Spain, focusing on climate-resilient water systems and resource recovery .
Benjamin Carrison-Schafer is an Associate Professor and Assistant Dean for Graduate Student Success at the Department of Electrical and Computer Engineering, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He leads the Design Automation and Reconfigurable Computing Laboratory (DARClab), focusing on systems, high-level design, and programming methodologies for VLSI computing systems and FPGAs. Education: MBA from McGill University, Canada (2012) PhD in Electrical and Electronic Engineering from University of Birmingham, UK (2003) Research Interests: His work spans modeling, analysis, synthesis, optimization, and implementation of VLSI systems. Current projects include: Approximate Computing, High-Level Synthesis Design Space Exploration, Hardware Security, Behavioral MPSoC Optimization, and Automatic Fault-Tolerant System Generation. His research blends theory and practice, using analytical and experimental techniques to solve real-world problems. Publication Trends: Recent publications demonstrate strong focus on hardware security, FPGA optimization, and automated design methodologies. Key themes include High-Level Synthesis innovations, hardware acceleration techniques, and cross-disciplinary applications of reconfigurable computing. His work frequently addresses challenges in hardware trustworthiness, energy efficiency, and design automation scalability. Professional Activities: Associate Editor: IEEE Transactions on Sustainable Computing (2022-present) Conference Chair: ICCD 2024, DCAS 2024 Program Committee: ASP-DAC, DATE, FCCM, GLSVLSI Advising & Labs: Supervises multiple PhD and Master's students at DARClab. Current research includes domain-specific architecture design, hardware security, sustainable computing, and ML for VLSI design. The lab collaborates with industry partners like Renesas Electronics and develops commercial tools through spin-off company highX Technologies.
Jillian Bohlen is an Associate Professor at the University of Georgia within the College of Agricultural & Environmental Sciences , specifically the Department of Animal and Dairy Science . Her work focuses on dairy cattle reproduction, teaching, and youth development in agricultural sciences. Education: B.S. in Dairy Science, University of Georgia (2003) M.S. in Dairy Science, University of Georgia (2005) Ph.D. in Animal Sciences, Clemson University (2012) Dr. Bohlen's research emphasizes applied reproduction in cattle , including synchronization techniques, ultrasound applications in reproductive programs, and embryo competency. She integrates students into all research projects despite lacking a formal research appointment. Her teaching interests span dairy cattle production , reproductive management , and contemporary agricultural issues , with courses like ADSC 3620 (Dairy Cattle Production), ADSC 4010 (Issues in Animal Agriculture), and ADSC 4410 (Applied Reproductive Management). Scientific awards include: Student Career Success Influencer Award (2024) Russell Award for Excellence in Undergraduate Teaching (2023) UGA Creative Teaching Award (2022) CAES Early Career Teaching Award (2022) Hoard's Dairyman Youth Development Award (2021) Larry Benyshek Teaching Award (2017) She actively promotes agricultural education through programs like the Commercial Heifer Project , Dairy Cattle Judging , and Dairy Quiz Bowl . Additionally, she participates in funded projects related to methane emissions , heat stress mitigation , and antibiotic alternatives in dairy farming.
Artur W. Dubrawski is an Alumni Research Professor of Computer Science and Director of the Auton Lab at Carnegie Mellon University's School of Computer Science. He leads interdisciplinary research on Artificial Intelligence, Machine Learning, and Robotics with real-world applications in healthcare, nuclear safety, food safety, and counter-human trafficking. His work focuses on bridging gaps between data-driven AI and empirical sciences through probabilistic modeling, predictive analytics, and time-series intelligence. Lab: Auton Lab (founded 1993) Collaborations: Allegheny County Health Department, USDA, CDC, U.S. Army Research Impact: AI for wastewater-based COVID-19 forecasting, radiological inspection systems, and hospital infection detection His students and affiliates include current PhD candidates Angela Chen, Emma Erickson, Cecilia Morales, Willa Potosnak and past researchers like Benedikt Boecking (co-inventor of Interactive Weak Supervision). The lab has spun off startups like Marinus Analytics (IBM XPrize finalists) and developed open-source tools like auton-survival for survival analysis. Key Grants: $10.5M U.S. Army contract for AI-driven predictive maintenance research.
Roles & Affiliations: Ikhlas Khan serves as Director of the National Center for Natural Products Research (NCNPR), Distinguished Professor, and Research Professor of Pharmacognosy at the University of Mississippi's School of Pharmacy. He also leads the FDA Program and coordinates natural products research across multiple initiatives, including the Sino-US TCM Research Center and the Center for Research of Indian Systems of Medicine (CRISM). Education: B.Sc. Chemistry (1980) - Aligarh Muslim University, India M.Sc. Organic Chemistry (1982) - Aligarh Muslim University, India Ph.D. Pharmacy (1987) - Ludwig-Maximilians-Universität, Munich Postdoctoral Studies - Swiss Federal Institute of Technology (ETH), Zurich Research Focus: Dr. Khan specializes in natural products research with emphasis on: Phytomedicine: Standardization of herbal products via analytical fingerprinting, pesticide/herbicide residue analysis, and bioanalytical quality control. Drug Discovery: Isolation of bioactive natural products, development of analytical methods for phytochemical characterization, and chiral separation techniques. Metabolism Studies: Role of metabolism in drug/natural product activity, particularly in aminoquinoline antimalarials. His work bridges academia, industry, and regulatory bodies, shaping policies for botanical supplements. Key Contributions: Over 850 peer-reviewed publications and leadership in high-impact projects like the FDA Center of Excellence. His lab pioneered methods to combat herbal product adulteration and safety issues. Awards & Recognition: UM Distinguished Professor Award (2018) Wiley Award (AOAC International, 2018) Qihuang International Prize (2017) Honoris Causa Doctorate (University of Hamdard, 2012) Labs & Collaborations: Directs the NCNPR, a global leader in natural products research, and collaborates with institutions worldwide. His team develops technologies for herbal product authentication and drug metabolism studies.
Samir Dani is a Professor of Operations and Supply Chain Management at Keele University’s Keele Business School. He holds Chartered Manager status and is a Fellow of multiple professional bodies, including the Higher Education Academy and Chartered Institute of Logistics and Transport. Prior to academia, he worked in India’s automotive industry. His research focuses on supply chain resilience, sustainability, food logistics, and Industry 4.0 technologies like AI and Blockchain. Affiliations: Keele University (current), University of Huddersfield (2014–2019), Loughborough University (2005–2008) Leadership: Former Head of Logistics, Marketing, Hospitality, and Analytics Department at University of Huddersfield Industry Engagement: £5M Leeds City Region LEP Supply Chain Program, UK-India trade advisory roles Research Interests: Supply chain risk and resilience Food supply chain sustainability AI, IoT, and Blockchain applications Industry 4.0 transformations Recent Article Trends: Focus on climate action impacts, blockchain trust mechanisms, and SME net-zero strategies. His work bridges academic theory with industry challenges, emphasizing technology adoption and sustainability. Awards: Prix des Associations (2015), UK Top 100 Logistics Professional (2017/18) Grants: £800K+ from EPSRC, IMCRC, and KTP Advisory Roles: Editorial Board member of Supply Chain Management: An International Journal, Academic Review Board member of International Journal of Operations and Production Management.
