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Amitabha Bagchi is a Professor in the Department of Computer Science and Engineering at IIT Delhi. His research spans data algorithmics, probability, networks, and theoretical computer science, with applications in distributed systems, social networks, and AI-driven platforms. He has published extensively in leading venues such as SIGMOD, VLDB, ICDE, AAAI, and KDD, often collaborating with students and researchers on problems involving graph algorithms, fairness, and large-scale data analysis. Research Interests: His primary research interests include Data Algorithmics, Probability and Networks, Theoretical Computer Science, Distributed Algorithms, Graph Algorithms, and Machine Learning Theory. He investigates algorithmic foundations for real-world problems such as food delivery optimization, social network analysis, and efficient data structures for streaming and large graphs. Publication Trends: Recent publications focus on fairness in gig economy platforms, efficient solvers for graph Laplacians, generalization in neural networks, and temporal graph querying. His work combines theoretical rigor with practical impact, often involving GPU acceleration, distributed computing, and data-aware algorithm design. Scientific Service: Editor, Algorithms (2020–present) Editor, Journal of Discrete Algorithms , Elsevier (2006–2018) Guest Editor, special issue on Algorithms for Shortest Paths in Dynamic and Evolving Networks , Algorithms (2021) Volume Editor for proceedings of ESA, ATMOS, COCOON, and others Conference Leadership: He has served on numerous program committees and as chair for conferences including ESA (Engineering Track, 2016), ATMOS (2020), and ICALP (2019). His involvement spans algorithmic engineering, transportation optimization, and theoretical computer science forums. Teaching: He currently teaches COL863: Special Topics in Theoretical Computer Science on concentration inequalities and their applications. He has previously taught advanced courses in algorithms and data structures.

• Data Algorithmics
• Probability and Networks
• Theoretical Computer Science
• +7 more

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.

• Animal Reproduction
• Dairy Science
• Reproductive Management
• +5 more

Nancy M. Wells is a Professor in the Department of Human Centered Design and serves as the Senior Associate Dean for Research and Graduate Education in the College of Human Ecology at Cornell University. Her work bridges environmental psychology and public health, examining how built and natural environments impact human health and behavior across the lifespan. Dr. Wells received a joint PhD in Psychology and Architecture from the University of Michigan and completed National Institute of Mental Health (NIMH) post-doctoral training at the University of California, Irvine. Her educational background uniquely positions her to investigate the intersection of physical environments and human wellbeing through both psychological and architectural lenses. Her research focuses on how environmental contexts—from homes to neighborhoods to schools—affect health outcomes, cognitive functioning, and resilience. A central theme examines nature's role in human resilience, particularly how natural environments buffer against adversity and challenge. She has conducted influential work on school gardens and their effects on children's physical activity, dietary habits, and learning. More recently, she has pioneered research on nature and autism, conducting a randomized controlled trial examining natural environments' effects on autistic youth wellbeing. Analysis of Dr. Wells' recent publications reveals consistent focus on nature's health benefits, with strong emphasis on experimental methodologies including randomized controlled trials and natural experiments. Her work spans environmental psychology, public health, and education, with particular attention to vulnerable populations including low-income communities and children of color. NSF Funding for environmental health research USDA Funding for school garden studies Robert Wood Johnson Foundation Funding MacArthur Foundation Funding Senior Associate Editor of Environment and Behavior (4 years) Research Advisory Board of Children and Nature Network Board of Directors for reDirect Dr. Wells actively mentors undergraduate and graduate students through the Wells Lab, involving them in all research stages from data collection to publication. Her research has been supported by multiple significant grants examining housing quality effects on mental health, neighborhood design impacts on physical activity, and school garden interventions. She leads interdisciplinary research teams that integrate perspectives from environmental psychology, public health, landscape architecture, and education. The Wells Lab operates as an integrated research-teaching-outreach unit that develops practical yet rigorous studies to assess causal relations between environment and health, creates valid measurement tools, and identifies causal pathways. Current projects include examining nature's effects on autistic youth wellbeing in partnership with The Center for Discovery in New York, and investigating multi-sensory design in urban public spaces.

• Environmental Psychology
• Human-Environment Interactions
• Nature and Health
• +7 more

Bradley D. Olsen is a full professor in the Department of Chemical Engineering at the Massachusetts Institute of Technology (MIT), where he leads research at the intersection of polymer science, soft matter physics, and bioengineering. His work focuses on designing materials for critical applications in biotechnology, hemostasis, and sustainable polymer development while advancing fundamental understanding of polymer network mechanics and self-assembly. Education: Ph.D. in Chemical Engineering, University of California Berkeley (2007) S.B. in Chemical Engineering, Massachusetts Institute of Technology (2003) Olsen's research spans protein-based materials, block copolymer phase behavior, and mechanochemical hydrogels. He has pioneered methods for quantifying polymer network topology, developing hemostatic nanoparticles, and creating bio-inspired materials for selective biomolecular transport and medical applications. His recent publications emphasize data-driven approaches to polymer characterization and educational outreach in materials science. Scientific Awards: American Physical Society (APS) Fellow (2023) Fulbright Amazonia Scholar (2023) Alexander and I. Michael Kasser Chair in Chemical Engineering (2021) ACS Macro Letters Young Investigator Award (2021) MIT Committed to Caring Honor (2019) AIChE Owens Corning Early Career Award (2019) APS Dillon Medal (2018) Kavli Emerging Leader in Chemistry (2017) ACS Polymer Division Fellow (2016) Camille Dreyfus-Teacher Scholar (2015) Alfred P. Sloan Research Fellow (2014) NSF Career Grant (2013) NIH Postdoctoral Fellowship (2008-2009) Hertz Fellow (2003-2007) Barry M. Goldwater Scholarship (2002) Olsen has received significant grant support including NSF Career (2013) and AFOSR (2012) awards. His teaching activities include innovative international outreach like the 2025 soccer-themed science camp in Brazil. The Olsen Group at MIT explores advanced materials with applications ranging from trauma care to sustainable polymers.

• Polymer Science
• Materials Engineering
• Soft Condensed Matter Physics
• +4 more

Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award

• 3D Printing
• Nanotechnology
• Biomedical Engineering
• +4 more

Michael Baldea is an Associate Professor in the Department of Chemical Engineering at the University of Texas at Austin . He holds a Ph.D. in Chemical Engineering from the University of Minnesota (2006), with prior degrees from 'Babeş-Bolyai' University in Romania (M.Sc. 2001, Diploma 2000). His research group develops theoretical and computational methods for Process and Energy Systems Engineering , focusing on integrated decision-making, performance optimization, and process intensification with industrial validation. Education: Ph.D., Chemical Engineering, University of Minnesota (2006) M.Sc., Interface Process Engineering, 'Babeş-Bolyai' University (2001) Diploma, Chemical Engineering, 'Babeş-Bolyai' University (2000) Research Thrusts: Integrated decision-making in chemical/energy supply chains Process performance monitoring and optimization Process integration and intensification Key applications include grid-responsive chemical plants, intensified distillation/column designs, and renewable energy integration for building systems. Scientific Awards: Frank A. Liddell, Jr. Fellowship NSF CAREER Award (2015-2020) Moncrief Grand Challenges Faculty Award (2014) AIChE Outstanding Young Researcher Award (2017) Implementation : His group has translated research into commercial tools through partnerships with industrial test beds and is working to integrate methods into commercial simulators. They explore predictive approaches for building energy management and strategic capital investment analysis in next-generation energy systems.

• Process Systems Engineering
• Energy Systems
• Nonlinear Optimization
• +3 more

Juliana Cohen is a Professor in Nutrition and Public Health at Merrimack College’s School of Nursing and Health Sciences. Her research focuses on school nutrition policies, health disparities, and dietary interventions to improve child health outcomes. She founded the NOURISH Lab , which evaluates policies to reduce diet-related disparities in children, funded by NIH and foundations. Her work has influenced USDA school meal standards and the Community Preventive Services Task Force recommendations. Education : Sc.D. in Nutrition (Harvard), M.Sc. in Human Development and Health (Harvard), B.A. in Italian Studies (Emory) Research Areas : School nutrition, behavioral economics, health disparities, diet-cognition links Her recent publications analyze universal free school meals, chemical exposure in meals, and pandemic impacts on food programs. Awards include NIH K01 funding and Obesity Society fellowship.

• Nutrition
• Public Health
• School Nutrition Policy
• +4 more

Jeff Moher is an Associate Professor of Psychology and Co-Chair of the Department of Psychology at Connecticut College, where he has been teaching since 2017. He also serves as the Data, Information, and Society Pathway Co-Coordinator, demonstrating his leadership within the institution. His educational background includes a Ph.D. and M.A. from Johns Hopkins University and a B.S. from the University of Michigan. This strong academic foundation has prepared him for his research and teaching career in cognitive psychology. Moher's research focuses on cognitive psychology and cognitive neuroscience, particularly visual attention and cognition in action. His work investigates why distractions occur, when they are likely to arise, and what mechanisms humans can harness to avoid them. He has found that humans employ various cognitive mechanisms to minimize distractions based on explicit knowledge, task goals, object properties, and recent experience, though he has also discovered surprising limitations in attentional selection. His research is particularly relevant given that over 3,000 people are killed annually in the United States from distracted driving. His recent publications show a consistent trajectory examining attentional mechanisms, distraction, and visual processing across different contexts. His work frequently employs sophisticated methodologies to measure both cognitive and motor responses to distractions, revealing how seemingly minor distractions can accumulate to induce serious performance costs. Moher's research is currently funded by grants from the National Science Foundation and the National Institutes of Health, indicating the significance and quality of his work. He likely mentors numerous students through the department's research groups, contributing to their development as researchers. He directs the CAMELab (Center for Attention, Movement, and Embodied Learning), which utilizes multiple methodologies including eye-tracking, electroencephalography, three-dimensional reach-tracking, and psychophysics to approach questions about attention and distraction. Current projects in his lab explore why salient distractors cause people to give up quickly during visual search, the brain mechanisms involved in learning to ignore distractions, how internal distractions impact physical interactions with the world, and how hand movement paths reveal information about attentional processes.

• Cognitive psychology
• Cognitive neuroscience
• Visual attention
• +1 more

Ellen Riloff serves as Department Head and Professor in the Department of Computer Science at the University of Arizona, where she leads research at the intersection of natural language processing (NLP) and artificial intelligence. Her work bridges theoretical advancements with real-world applications in social computing, planetary science, and crisis response systems. Education: Ph.D. in Computer Science, University of Massachusetts at Amherst (1994) Research Focus: Dr. Riloff specializes in affective computing and information extraction , developing techniques to recognize emotion, social cues, and embodied expressions in text. Her methodologies frequently employ bootstrapping, stacked learning, and semantic lexicon induction. Recent projects address crisis informatics (e.g., social cue recognition in emergencies) and interdisciplinary applications like the Mars Target Encyclopedia for planetary science data extraction. Publication Trends: Analysis of her 15 most recent publications (2021–2025) reveals three dominant trajectories: (1) affective event modeling in social contexts with applications to crisis response; (2) domain-specific NLP for planetary science and food systems; and (3) advanced language model techniques including retrieval-augmented generation and multi-view prompting. Her work increasingly integrates deep learning with traditional linguistic features. Grants and Leadership: Dr. Riloff has directed multiple NSF-funded projects, including RI: Small: Recognizing Implicit Personal States in Natural Language (2016) and RI: Small: Acquiring Domain Knowledge from Text through Cooperative Bootstrapping (2010). These initiatives pioneered bootstrapping frameworks for affective event recognition and information extraction. She also co-organized the Workshop on Pattern-based Approaches to NLP (2023), highlighting her leadership in advancing hybrid NLP methodologies. Collaborative Infrastructure: She co-developed the Mars Target Encyclopedia—a large-scale information extraction system that processes planetary science literature to create structured databases of Mars surface targets. This project demonstrates her commitment to building reusable scientific infrastructure through NLP.

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +3 more

Mary K. Firestone is Professor of the Graduate School in the Department of Environmental Science, Policy and Management at UC Berkeley. Her research revolutionized understanding of soil microbial processes, particularly oak regeneration techniques and microbial mediation of carbon/nitrogen cycling in terrestrial ecosystems. Firestone's work examines microbial responses to environmental change, including drought, rewetting, and warming scenarios. Her lab develops innovative methods like quantitative stable isotope probing (qSIP) to trace microbial activity in complex soil environments. Research spans grassland, rangeland, and agricultural ecosystems. Honors include election to the National Academy of Sciences (2017), Soil Ecology Society Career Achievement Award (2017), and American Geophysical Union Fellowship (2016). She holds the Betty and Isaac Barshad Chair in Soil Sciences. Current PhD candidates and postdoctoral researchers in the Firestone Lab investigate viral-bacterial interactions in soil, mycorrhizal carbon transfer, and drought impacts on soil carbon persistence. Field studies at California's Hopland Research Center examine grassland responses to climate variability.

• Soil Microbial Ecology
• Carbon Cycling
• Nitrogen Cycling
• +2 more

Dr. V.M. (Bala) Balasubramaniam is a Professor in the Department of Food Science and Technology at The Ohio State University. He holds editorial roles in food engineering journals and is a Fellow of IFT and IUFoST. His research focuses on clean food manufacturing technologies, particularly high-pressure and nonthermal methods, emphasizing microbial inactivation and nutrient preservation. He teaches unit operations in food engineering and contributes to industry via short courses and pilot plant demonstrations. Education: B.S. (Tamil Nadu Agricultural University), M.S. (Asian Institute of Technology), Ph.D. (Ohio State University). Research Interests: Thermal/nonthermal processing, food safety/quality modeling, and innovative applications of high-pressure technologies. Recent work includes ultra-shear technology development and superheated steam sanitation. Over 100 scientific papers, 20 book chapters, and co-edited books on high-pressure processing. Awards include the 2021 IFT Research & Development Award and 2017 Calvert L. Willey Award. Advising: Supervises graduate students like Liz Astorga Oquendo and Shruthy Seshadrinathan. Industrial outreach includes a USDA consortium for ultra-shear commercialization. Labs/teams focus on pilot-scale equipment testing and microbial efficacy studies.

• Food Engineering
• Nonthermal Food Processing
• High Pressure Processing
• +4 more

Matthew D. Potts is the S.J. Hall Chair in Forest Economics and Professor at UC Berkeley's Department of Environmental Science, Policy, & Management. He also serves as Associate Director for Sustainable Development at the Blum Center for Developing Economies. With interdisciplinary training in mathematics, ecology, and economics, his research focuses on nature-based climate solutions and ecosystem service co-production. Research addresses carbon sequestration through forest management, biodiversity conservation, land use planning, and sustainable development in tropical ecosystems. Recent work examines cost-effectiveness of reforestation, climate-driven migration patterns, and plantation carbon modeling. Publications demonstrate strong focus on quantitative analysis of land-use impacts, with methodological innovations in remote sensing applications and spatial modeling for carbon accounting. Awards include recognition for young faculty research and leadership in international environmental assessments. Leads the Potts Research Group, mentoring graduate students working on tropical ecology, restoration, and climate adaptation projects.

• Carbon Removal
• Forest Management
• Biodiversity Conservation
• +3 more

Dr. Abdullah Bal is a researcher at Georgia State University's College of Arts & Sciences, Department of Computer Science, with over 25 years of academic experience. He holds a Ph.D. in Electrical Engineering from Yildiz Technical University (2002) and has taught graduate and undergraduate courses in algorithms, machine learning, and optical pattern recognition. B.Sc., Electronics and Communication Engineering, Istanbul Technical University (1993) M.Sc., Electrical Engineering, Yildiz Technical University (1997) Ph.D., Electrical Engineering, Yildiz Technical University (2002) His research focuses on data science, machine learning, and hyperspectral imaging applications in fields ranging from forensic analysis to historical structure preservation. He has led projects funded by the U.S. Army Research Office and the Scientific and Technological Research Council of Turkey, including real-time target detection systems and digital imaging for historical structures. Recent publications demonstrate his expertise in kernel-based transforms, ensemble learning, and hyperspectral data analysis. His work spans food safety inspection, infrared target tracking, and biometric verification systems. Faculty Outstanding Research Publication Award (2006) Turkish Air Force Academy Science Competition Winner (2009) Best Paper Award at ICFCT (2016) Previously, he chaired YTU's Informatics Department (2009-2016) and participated in academic governance through the Electrical and Electronics College Executive Committee (2012-2015). You can contact him at abal@gsu.edu in room 739, 25 Park Place.

• Data Science
• Machine Learning
• Deep Learning
• +5 more

George T.-C. Chiu is a Professor in the School of Mechanical Engineering at Purdue University, with courtesy appointments in Electrical and Computer Engineering and Psychological Sciences. He holds a 50% appointment as Assistant Dean for Global Engineering Programs and Partnerships. Previously, he served as a Program Director at the NSF, managing the Control Systems Program and National Robotics Initiative. His research focuses on mechatronics, dynamical systems, and control, with applications in printing, robotics, and human-machine interaction. Education: PhD (1994), University of California, Berkeley MS (1990), University of California, Berkeley BS (1985), National Taiwan University Research Interests: Functional printing technologies for biomedical and environmental sensors Robotics and human-robot interaction Control systems for manufacturing and dynamic systems Energy-efficient sensor design His work bridges mechanical engineering, materials science, and control theory, addressing challenges in precision manufacturing and sustainable technology. Awards: Fellow, ASME (2021) Fellow, Society for Imaging Science and Technology Grants & Projects: USDA-funded projects on food safety sensors and sustainable agriculture NSF initiatives in robotics and additive manufacturing Collaborative research with industry partners like HP and the Army Labs & Outreach: Founded the Purdue FIRST Programs, mentoring K-12 students in robotics. Co-developed experiential courses for student mentors, fostering leadership and project management skills.

• Mechatronics
• Dynamical Systems and Control
• Functional Printing
• +4 more

Sungkwon Park is a Professor in the Department of Food Science and Biotechnology at Sejong University, specializing in advanced food science and biotechnology research with a focus on meat science, cultured meat production, and sustainable food systems. His research integrates molecular biology, food biotechnology, and systems biology to develop innovative food solutions. His educational background includes a Ph.D. from Purdue University (2008), M.S. from Yeungnam University (2001), and B.S. from Yeungnam University (1999). Prior to his current position, he worked as a Postdoctoral Fellow at Virginia Tech (2008-2012) and as a Research Officer at the National Institute of Animal Science, RDA (2012-2015). Professor Park's research interests focus on livestock production optimization, meat processing for health functionality, environmentally friendly animal production systems, and in vitro meat production. His work has led to significant achievements including the identification of calcium and glucose interaction mechanisms in muscle metabolism, development of oleogel-based meat processing techniques, optimization of feed ingredients for sustainable livestock, and establishment of in vitro meat production systems. His recent publications (2023-2025) demonstrate a strong focus on cultured meat technology, meat science, and sustainable food production. The research spans cellular mechanisms for cultured meat production, safety and regulatory aspects of alternative proteins, comparative analysis of muscle satellite cells, and optimization of meat processing techniques. His work shows a clear trend toward developing practical applications for next-generation meat products with emphasis on health functionality and environmental sustainability. Professor Park actively serves as a reviewer for Frontiers in Veterinary Science and is an Editorial Board Member of the Korean Society of Animal Science. His laboratory, the M&M'a lab (Functional Food Lab), conducts research on high-value-added, health-functional BioFood and future foods using bio-convergence technologies.

• Livestock production & optimization
• Meat processing: healthy & functionality
• Establishment of environmentally friendly animal production
• +6 more