Sudha Ram is the Anheuser-Busch Endowed Professor of MIS, Entrepreneurship & Innovation at the Eller College of Management, University of Arizona. She holds joint faculty appointments as Professor of Computer Science and is a member of the BIO5 Institute and the Institute for the Environment. She is also the Director of INSITE: Center for Business Intelligence and Analytics, a leading research center in data-driven decision-making. Her research focuses on Big Data Analytics , Business Intelligence , Large Scale Network Science , and Machine Learning , with applications in healthcare, smart cities, environmental policy, and social media. She has pioneered methods in explainable AI, conceptual modeling, and multimodal data fusion, integrating statistical, ontological, and machine learning approaches. Recent publications demonstrate a strong trend in healthcare analytics (e.g., asthma, diabetes, fracture prediction), explainable AI (ROLEX, argumentation-based models), and urban/smart systems (mobility, wearables, environmental impact). Her work consistently appears in top-tier journals and conferences, reflecting sustained scholarly impact. AIS Fellow (2018) INFORMS ISS Distinguished Fellow IBM Faculty Award Peter Chen Award Best Paper Award, IEEE Smart Cities (2016) Best Paper Award, ACM Digital Health (2016) Woman of Impact Award, University of Arizona (2023) Dr. Ram has secured over $70 million in research funding from agencies like NSF, NASA, CIA, and corporations including IBM, Intel, and SAP. She has mentored numerous students and leads a multidisciplinary research team at INSITE. She has held editorial leadership roles in Information Systems Research , Journal of AIS , and is founding co-editor of the Journal of Business Analytics . She directs the INSITE Center, which fosters collaboration across business, computer science, and health domains, enabling large-scale data synthesis and knowledge discovery. The center supports projects in healthcare innovation, smart cities, and environmental policy analytics.
Bart Somers is an Associate Professor at Eindhoven University of Technology , affiliated with the Department of Mechanical Engineering . His primary affiliations include the Power & Flow Group and his own research group, Group Somers , alongside cross-cutting roles in EAISI (Eindhoven Artificial Intelligence Systems Institute) and EIRES (Eindhoven Research on Innovation and Sustainability in Energy Systems). He focuses on advancing combustion science , sustainable fuels , and engine efficiency , leveraging computational fluid dynamics (CFD) and experimental methods. His research interests span alternative fuels (hydrogen, bio-oils, biofuels), high-pressure spray combustion , and low-emission engine design . He investigates combustion optimization through CFD tools like large-eddy simulation (LES) and flamelet-generated manifolds (FGM), emphasizing fuel stratification , ignition dynamics , and emission control . His work bridges experimental diagnostics (e.g., spray visualization, OH* chemiluminescence) and numerical modeling. Academically, he teaches courses such as Thermodynamics , Clean Engines and Future Fuels , and Sustainable Vehicles , integrating practical projects into curricula. His educational activities emphasize interdisciplinary sustainability and innovation, including honors programs focused on professional development. Recent publications highlight his contributions to hydrogen injection strategies, biofuel applications in genset engines, and optimization of diesel-biofuel blends. His work aligns with global sustainability goals, addressing energy transition challenges through advanced combustion technologies.
Roles & Affiliations: Associate Professor of Urban Planning at the Taubman College of Architecture + Urban Planning, University of Michigan. Senior Fellow, Michigan Society of Fellows. Director of Doctoral Studies (2004–2012, 2017–2019). Affiliated with the Weiser Center for Europe and Eurasia. Education: Ph.D. in Urban and Regional Planning (University of California, Berkeley, 1990), M.C.P. in City and Regional Planning (University of California, Berkeley, 1985). Research Interests: Focuses on urban planning theory, sustainability, complex systems governance, and the intersection of equity and environmental policy. Explores historical and contemporary planning paradigms, particularly the 'Planner’s Triangle' and 'Planner’s Pentangle' models. Engages with wicked problems in urban governance and the application of complex systems modeling. Recent Work: Recent articles emphasize reimagining planning models for the 21st century, addressing sustainability through adaptive governance, and reconciling growth with social justice. His 2016 work on sustainable urban development critiques the tensions between economic growth and environmental equity. Awards & Grants: Recognized with the Most Valuable Planner Award (2000), Rackham Faculty Research Grant (1999–2000), and multiple grants from Rutgers University and the American Planning Association. Advising & Education: Advised over 20 doctoral students on topics ranging from climate resilience to global urbanization. Co-developed curricula for planning theory, methods, and sustainable development. Active in mentoring students through comprehensive exams and dissertation research. Labs & Teams: Collaborates with interdisciplinary teams in the Urban & Regional Research Collaborative (URRC) and contributes to initiatives like the Hines Student Design Competition. Engages with global urban challenges through projects in India, Uganda, and Southeast Asia.
Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration
Saurabh Amin is a Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), where he also serves as the Edmund K. Turner Professor and Undergraduate Officer. He is a Principal Investigator at the Laboratory of Information and Decision Systems and holds affiliations with the Operations Research Center and the Center for Computational Science and Engineering. His educational background includes: B.Tech. 2002, Indian Institute of Technology (IIT) Roorkee M.S. 2004, University of Texas (UT) Austin Ph.D. 2011, University of California (UC) Berkeley Saurabh Amin's research focuses on the design and control of infrastructure systems using game theory and optimization in networks. His work spans three main areas: resilient network control, information systems and incentive design, and optimal resource allocation in large-scale infrastructure systems. By concentrating on critical infrastructure domains including highway transportation, electric power distribution, and urban water networks, his research develops innovative theory and tools to enhance system performance against both stochastic and adversarial disruptions. His approach involves modeling cyber-physical interactions in infrastructures to assess vulnerabilities, developing detection and response tools for failures at various scales, and designing economic incentive schemes that improve aggregate public good while accounting for dependencies and private information among strategic entities. Amin's work bridges mathematical systems theory with practical civil engineering applications, creating a rigorous theoretical foundation for infrastructure resilience that addresses diverse failure mechanisms from natural disasters to deliberate malicious actions. His recent publications demonstrate a strong focus on decarbonization of energy systems, resilient infrastructure planning under climate uncertainty, optimization methods for complex networked systems, and game-theoretic approaches to sustainable infrastructure management. His work increasingly integrates artificial intelligence and machine learning techniques with traditional control theory to address contemporary challenges in infrastructure resilience and sustainability. The research shows a clear trajectory toward addressing climate change impacts on infrastructure systems while maintaining economic efficiency and operational reliability. Professor Amin has received numerous prestigious awards and honors: Common Ground Excellence in Teaching Award, 2025 HSCC Test-of-Time Award, 2024 MIT CEE, Distinguished Service and Leadership Award, 2023 Samuel M. Seegal Prize (SoE) – inspiring students in pursuing and achieving excellence, 2022 Earll M. Murman for Excellence in Undergraduate Advising, 2022 C3.ai Digital Transformation Institute Research Award, 2020 MIT, Ole Madsen Mentoring Award, 2020 MIT, Energy Initiative Research Award, 2020 National Academy of Engineering, China-America Frontiers of Engineering Symposium speaker, 2019 MIT, Robert N. Noyce Career Development Professor, 2015-2018 Google Faculty Research Award, 2015 National Science Foundation CAREER Award, 2015 Siebel Energy Institute Research Award, 2015 MIT, Solomon Buchsbaum AT&T Research Fund Award, 2012 Professor Amin has been actively involved in significant research projects including the C3.ai DTI project on Causal Reasoning for Real-Time Attack Identification in Cyber-Physical Systems and another on Learning in Routing Games for Sustainable Electromobility. He serves as the chief scientist on multi-institutional NSF grants, including the $9 million Foundations of Resilient Cyber-Physical Systems (CPS) project. His teaching portfolio includes courses such as 1.008 Engineering for a Sustainable World, 1.104 Sensing and Intelligent Systems, 1.020 Engineering Sustainability: Analysis and Design, and 1.208 Resilient Networks. As Undergraduate Officer, he plays a key role in shaping the educational experience for civil and environmental engineering students at MIT. Professor Amin leads the Resilient Infrastructure Networks Lab at MIT, where his team develops theoretical foundations and practical tools for infrastructure resilience. The lab focuses on the intersection of control theory, game theory, and optimization applied to cyber-physical infrastructure systems. Current research directions include pandemic-resilient urban mobility and hurricane-resilient smart grid operations, reflecting the lab's commitment to addressing pressing societal challenges through rigorous systems engineering approaches.
Cyrille Artho is an Associate Professor in the Division of Theoretical Computer Science at KTH Royal Institute of Technology, actively contributing to research in formal methods, software testing, and cybersecurity. His work spans model checking, smart contract security, and concurrent systems verification, with significant contributions to tools like Java Pathfinder and Modbat. PhD from ETH Zurich (2005) with dissertation on multi-threading fault detection Teaches Software Safety and Security, Software Engineering Fundamentals, and supervises degree projects His research focuses on developing formal techniques for safety-critical systems, particularly in blockchain security and distributed applications. Recent work emphasizes smart contract verification, anomaly detection in microservices, and trusted execution environments for secure cloud analytics. The 15 most recent publications reveal a strong trend toward blockchain security (6 articles), formal verification of distributed systems (5), and novel testing methodologies (4), with increasing integration of machine learning for vulnerability detection. As chair of the FTSCS workshop series and contributor to major conferences like ASE and ICST, Artho has significantly shaped the formal methods community. His leadership in organizing workshops demonstrates commitment to advancing safety-critical systems research. Principal investigator for C3.ai DTI Cyber Safety Cage for Networks project Develops Modbat framework for model-based API testing Active in Digital Futures research initiative at KTH
Dr. Theresa Jedd is an Environmental Policy Specialist and Post-Doctoral Research Associate at the Department of Environmental and Climate Policy , Technische Universität München , since 2019. Previously, she worked at the National Drought Mitigation Center (University of Nebraska-Lincoln, 2015-2019) and the Natural Resource Ecology Laboratory (Colorado State University, 2015). Her work spans drought policy analysis, transboundary conservation, and participatory governance methods across diverse regions including Montana, Nebraska, and the Middle East/North Africa. Current Affiliation: Technische Universität München (2019-present) Prior Roles: University of Nebraska-Lincoln (2015-2019), Colorado State University (2015) Research Focus: Combines qualitative methods (interviews, focus groups, workshops) with physical drought indicators to analyze policy frameworks at multiple governance levels (local, national, international). Key themes include: Climate risk governance Water allocation mechanisms Drought early warning systems Transboundary environmental policy Civil society engagement Ethics of environmental crises Publication Trends: Recent work highlights polycentric governance challenges, drought resilience limitations, and participatory monitoring approaches. Her research spans environmental policy, water resource management, and climate adaptation.
Brice Kuhl is a Professor in the Department of Psychology at the University of Oregon , where he leads the Kuhl Lab. His research focuses on the cognitive neuroscience of memory formation, retrieval, and forgetting , utilizing advanced neuroimaging techniques like fMRI and EEG combined with machine learning algorithms to analyze distributed neural activity patterns. His work explores mechanisms of memory interference resolution , forgetting , and neural representation transformation . Recent publications emphasize spaced learning , temporal memory dynamics , and memory-cognitive control interactions . The lab has received attention for decoding perceptual content from neural activity and reconstructing face images based on brain states. Current lab members include graduate students Anisha Babu , Tongle Cai , and America Romero , alongside postdocs like Soroush Mirjalili and Yoonjung Lee . The lab frequently presents at conferences like CNS and SFN , and maintains active collaborations in memory research and neuroimaging methodology . Notable projects include investigations into hippocampal pattern differentiation and parietal cortex roles in memory . The lab also contributes to open science initiatives with publicly available experimental codes and data .
Melanie Molina, MD, MAS is an Assistant Professor of Emergency Medicine at the University of California, San Francisco (UCSF) and Affiliate Faculty of the Philip R. Lee Institute for Health Policy Studies. She serves as Co-Director of the Social Emergency Medicine and Health Equity Section and holds a secondary appointment in the Department of Medicine’s Division of Clinical Informatics and Digital Transformation. Clinically, she works at Zuckerberg San Francisco General Hospital and UCSF Medical Center. National Clinician Scholars Program Fellowship (2023) MAS in Clinical Research, UCSF (2023) Residency in Emergency Medicine, Harvard Medical School (2021) MD in Medicine, The University of Texas at Austin (2017) BS/BA in Biology and Hispanic Studies, The University of Texas at Austin (2012) Dr. Molina’s research centers on leveraging technology to address social determinants of health in emergency settings, with a focus on vulnerable populations. Her work spans health equity, opioid use disorder interventions, microaggressions in healthcare, and clinical informatics. She pioneers EHR-enabled tools to integrate social care into emergency clinical workflows while minimizing clinician burden. Her NIH-funded projects emphasize practical solutions for racial and ethnic health disparities, particularly in vaccine delivery and social risk documentation. Her recent publications (2024-2025) reveal three dominant trends: (1) Integration of AI and informatics for social risk screening and clinical decision support, (2) Health equity interventions targeting vaccine hesitancy and long COVID disparities, and (3) Critical analysis of DEI implementation challenges in academic emergency medicine. The work consistently bridges technical innovation with community-centered approaches to address systemic inequities. National Institutes of Health NIDA Loan Repayment Award (2024-2025) National Hispanic Medical Association Top 40 Under 40 (2024) UCSF John A. Watson Faculty Scholar (2023) National Institutes of Health NIAID Loan Repayment Award (2022-2024) Academy for Women in Academic Emergency Medicine Outstanding Research Publication Award (2021) Harvard Medical School Presidential Scholars Public Service Initiative Award (2017) Dr. Molina actively mentors medical students, residents, and fellows in health equity research. As Principal Investigator on multiple NIH and foundation grants—including the Harold Amos Medical Faculty Development Program grant ($825,575, 2024-2028) and an NIH/NIDA K23 award (2024-2029)—she leads projects developing EHR-integrated interventions for social risk documentation and opioid use disorder treatment. Her PROBOOSTVAXED trial addresses vaccine hesitancy through ED-based delivery across eight U.S. cities. She co-directs the Social Emergency Medicine and Health Equity Section within UCSF’s Department of Emergency Medicine, collaborating closely with the Action Research Center for Health Equity and the Philip R. Lee Institute for Health Policy Studies. Her team integrates clinical informatics expertise with community health workers to develop scalable solutions for social risk mitigation in safety-net emergency departments.
Giorgio Ascoli is a University Professor in the Department of Bioengineering at George Mason University, where he has been since 1997. He is the Founding Director of the Center for Neural Informatics, Structures, & Plasticity (CN3) and Founding Editor-in-Chief of the journal Neuroinformatics . His affiliations span computational neuroanatomy, neuroinformatics, and hippocampal modeling. Education : PhD in Biochemistry and Neuroscience (1996), Scuola Normale Superiore; MS in Chemistry and Biochemistry (1993), Pisa University; BS in Chemistry and Physics (1991), Scuola Normale Superiore. Dr. Ascoli investigates the relationship between brain structure, activity, and function from cellular to circuit levels. His research focuses on anatomically plausible neural networks to model mammalian brains, particularly the hippocampus, with implications for understanding human memory and consciousness . He pioneered computational neuroanatomy, developing tools like L-Neuron for neuronal shape modeling and curating NeuroMorpho.Org , a central repository for digitally reconstructed neurons. His recent publications emphasize neuronal classification , connectome analysis , and biologically informed machine learning . Awards include the 2012 Outstanding Faculty Award (Virginia), 2022 AIMBE fellowship , and 2023 Presidential Faculty Excellence Awards . He has mentored over 20 graduate students and postdoctoral fellows, with funding from NIH, NSF, DARPA, and private foundations. Scientific Contributions : Over 137 peer-reviewed articles, 4 patents, 2 authored/edited books, and leadership in NeuroMorpho.Org and Hippocampome. Grants : $20M+ in cumulative funding, including NIH R01s, NSF BRAIN EAGERs, and Burroughs-Wellcome Trust support. Labs : Leads the Computational Neuroanatomy Group within CN3, focusing on hippocampal modeling, neuronal morphology, and consciousness theories.
Stephen Y. Chou is the Joseph C. Elgin Professor of Engineering and Professor of Electrical and Computer Engineering at Princeton University. He is affiliated with the Princeton Materials Institute (PMI) and leads the Nano, Meta, and Bio-Health Laboratory (NMBH Lab), previously known as the Nanostructures Lab. His work spans nanotechnology, bioengineering, and photonics, integrating interdisciplinary approaches to address challenges in health, electronics, and manufacturing. Ph.D., Massachusetts Institute of Technology, 1986 M.A., Physics, State University of New York at Stony Brook, 1982 B.S., Physics, University of Science and Technology of China, 1978 Chou's research focuses on nano-bioengineering for diagnostics and health, nanophotonics (meta-optics and subwavelength elements), and nanofabrication techniques. His work has revolutionized nanoimprint lithography, enabling breakthroughs in semiconductor devices, optical sensors, and biomedical tools. The NMBH Lab's innovations include ultra-sensitive biosensors (D2PA), the iMOST™ diagnostic platform, and foundational contributions to gate-all-around (GAA) transistors for sub-3 nm CMOS technology. His publications reflect advancements in plasmonic biosensors, organic solar cells, nanofluidics, and scalable nanoimprint methods. Key themes include nanoscale light manipulation, low-cost diagnostic systems, and quantum electronic devices. Member, National Academy of Engineering (2007) IEEE Cledo Brunetti Award (2004) IEEE Nanotechnology Pioneer Award (2014) Nanoimprint Pioneer Award (2015) Packard Fellow (1991) Fellow, IEEE (2000) Inductee, New Jersey High Tech Hall of Fame (2004) MIT Technology Review Emerging Technologies (2003, 2007) Chou has founded three companies (Nanonex, NanoOpto, Essenlix) and co-founded BioNano Genomics (NASDAQ: BNGO). His work bridges academic research and industrial impact, with over 700 publications (H-index 97) and 400 patents, influencing global nanotechnology and diagnostics. The NMBH Lab develops transformative technologies in nano-bioengineering, nanophotonics, and nanofabrication, emphasizing practical applications for healthcare and electronics.
Florian 'Floyd' Mueller is a Professor of Future Interfaces at Monash University in Melbourne, Australia, where he directs the award-winning Exertion Games Lab within the Department of Human-Centred Computing (ranked among the top 20 HCI departments globally). Previously, he held positions at RMIT University, Stanford, University of Melbourne, Microsoft Research, MIT Media Lab, Fuji-Xerox Palo Alto Labs, Xerox Parc, and Australia's CSIRO. Mueller is a member of the prestigious ACM SIGCHI Academy, an honorary group recognizing leaders who have made substantial contributions to Human-Computer Interaction (HCI). Professor Mueller's research focuses on the intersections between technology, the human body, and play. He originated the concept of "Exertion Interface," arguing that we should not just design "easy-to-use" interactions when "hard-to-use" interactions can also be beneficial. His work spans movement-based interactions, whole-body interfaces, uncomfortable interactions, somaesthetics, and exertion games. Mueller's research methodology often employs research through design, design ethnography, and autoethnography to explore these novel interaction paradigms, incorporating mixed-reality, augmented reality, virtual reality, electronic muscle stimulation, biosensors, wearables, and drones. His recent publications demonstrate a continued focus on bodily interactions and human-computer integration, with particular emphasis on emerging subfields like WaterHCI and SportsHCI, brain-computer interfaces, and gustosonic (taste and sound) experiences. Mueller's work has evolved from foundational exertion game concepts to more sophisticated explorations of human-computer integration where technology becomes seamlessly woven into the fabric of human experience. Professor Mueller's contributions have been widely recognized with numerous awards including: Inaugural honouree of the Australian Design Centre's Design Honours Tall Poppy award for "intellectual and scientific excellence" 10 "Best Paper Honorable Mentions" (top 5%) from premier HCI conferences 2 "Best Paper" awards (top 1%) at CHI PLAY and CHI Shortlisted for the European Innovation Games Award (alongside Nintendo's WiiFit) Nokia Mindtrek Ubimedia Award Mueller has successfully secured some of Australia's largest and most competitive research grants, achieving a remarkable 14% success rate on Australian Research Council Discovery Project applications. He has served as General co-Chair for CHI PLAY'18 and CHI'20, becoming the first Australian-based researcher to spearhead HCI's highest-ranked publication outlet, and is currently General co-Chair for CHI'24. He is Associate Editor for tier A journals including Elsevier's IJHCS (International Journal of Human-Computer Studies) and ACM's IMWUT (Interactive, Mobile, Wearable and Ubiquitous Technologies). As director of the Exertion Games Lab, Mueller leads a research team whose innovations have been experienced by over 20,000 users across 3 continents and featured on the BBC, ABC, Discovery Science Channel, and Wired magazine. The lab has produced groundbreaking work in bodily interfaces, co-founding the CHI PLAY conference series and establishing new research directions in SportsHCI and WaterHCI through recent "Grand Challenges" papers. Mueller's lab continues to push boundaries with projects exploring brain-to-brain interfaces, lucid dreaming induction, and novel gustosonic experiences.
Dima Arinkin is a Professor in the Department of Mathematics at the University of Wisconsin–Madison, specializing in algebraic geometry with significant contributions to geometric representation theory and mathematical physics. His research focuses on: Geometric Langlands Program: Developing frameworks connecting automorphic forms and Galois representations through geometric methods Moduli Spaces: Analyzing spaces of algebraic connections, Higgs bundles, and their compactifications D-modules: Studying systems of linear differential equations via algebraic geometry Integrable Systems: Investigating geometric structures in soliton theory and Painlevé equations Irregular Singularities: Exploring connections with irregular behavior on algebraic curves Analysis of his publications (2008-2016) reveals consistent advancement in geometric Langlands through derived algebraic geometry techniques, particularly in relating singular support of sheaves to automorphic forms and establishing oper structures for connections. No scientific awards are documented in the provided materials. No information regarding student advisement or research grants appears in the source texts.
Steffi Haag is a Professor of Digital Innovation and Entrepreneurship at the Institute of Computer Science , Heinrich Heine University Düsseldorf (HHU) . She bridges the Faculty of Mathematics and Natural Sciences and Faculty of Business Administration and Economics , collaborating with the Center for Entrepreneurship Düsseldorf (CEDUS) to inspire tech startups. Her research focuses on sustainable information systems, digital experiences, and business models. Steffi Haag’s research integrates Shadow IT , Usable Cybersecurity , and Digital Idea Management . Her work emphasizes theoretical , quantitative , qualitative , and mixed-methods research , including experimental and survey methodologies. Steffi Haag’s publications (2018–2024) span Information Systems , Cybersecurity , Digital Twins , and Sustainable Design . Common themes include Shadow IT dynamics , user behavior in security , and innovation management . Hermann Gutmann Award for special scientific achievements (2023) Schöller Fellow (2020) HMD Best Paper Award (2018) Research Award in Data Protection and Data Security (2017) Dissertation Prize (2017) Steffi Haag has secured grants such as the TU Darmstadt Postdoctoral Fellowship for Female Researchers (2016–2018) and Deloitte Foundation Fellowship (2009–2011). She actively moderates conferences and serves as Associate Editor of Business & Information Systems Engineering .
Dond Asha Kisan is an Assistant Professor at the School of Mathematics , Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). His research focuses on numerical analysis and computational mathematics , particularly in finite element methods for partial differential equations. He can be contacted at ashadond@iisertvm.ac.in or via phone at +91 (0)471-2778247. PhD : Mathematics, Indian Institute of Technology Bombay M.Sc. : Mathematics, K.T.H.M. College, Nashik Kisan's research spans adaptive finite element methods , stabilized formulations for convection-diffusion problems , and optimal control governed by Stokes equations . His work includes convergence analysis, nonconforming discretizations, and hybrid numerical schemes. Recent publications (2023-2025) address stochastic modeling in liquid crystal physics, advanced WENO schemes, and adaptive algorithms for control problems. Scientific Awards : No explicit awards mentioned in the data, though he held prestigious postdoctoral fellowships including National Post-Doctoral Fellowship and NBHM Post-Doctoral Fellowship. Kisan has extensive teaching experience , including MATLAB workshops and undergraduate course assistantships. He has presented at major international conferences like ICIAM and Hyperbolic Problems, demonstrating global engagement in computational mathematics.
