T102: Enabling and Accelerating Scientific Discovery with Generative AI.

Invited Seminar,

Lucy Family Institute for Data and Society, Notre Dame, April 03, 2024.

T101: GenAI In Education.

Masterclass,

Gen Next Education, KCG College of Technology, Chennai, January 25, 2024.

T100: Of Small Molecules, Large Molecules, AI, and Generative AI.

Invited Seminar,

Center for Genetic Medicine, Children's National Hospital, January 19, 2024.

T99: Artificial Intelligence in the Age of Large Language Models.

Invited Talk,

Vienna Area Branch of AAUW and the Patrick Henry Library of Vienna, January 06, 2024.

T98: AI Redux: Opportunities and Dangers Ahead.

Invited Talk,

Carlisle Towers, November 05, 2023.

T97: AI & ML Beyond ChatGTP: From Education to Training and Careers in our AI-powered Digital Society .

Masterclass,

Gen Next Education, October 20, 2023.

T96: Artificial Intelligence after ChatGTP .

Invited Talk,

George Mason Regional Library, Fairfax, VA, September 05, 2023.

T95: Narrating National Artificial Intelligence Infrastructures: Insights from Social and Computer Sciences on Technological Diffusion.

With JP Singh,

AFRL/AFOSR FY23 Trust and Influence Program Review, USAFA, Colorado, August 16, 2023.

T94: Narratives of National AI Policies.

With JP Singh, Manpriya Dua, and Caroline Wesson,

Annual Political Science Workshop of the Low Countries, Leuven, Belgium, June 1, 2023.

T93: AI After ChatGPT.

Invited Talk,

Informed XP Series, June 1, 2023.

T92: Narratives of National AI Policies.

with JP Singh, Manpriya Dua, and Caroline Wesson,

AI &Tech Policy Summer Institute, George Mason University, May 23, 2023.

T91: How Can Artificial Intelligence (AI) Really Improve Our Lives?

Invited Talk,

Prince William Chamber of Commerce Business Series, VA, May 09, 2023.

T90: Narratives of National AI Policies.

with J.P. Singh, Manpriya Dua, and Caroline Wesson,

AFOSR Visit, George Mason University, May 09, 2023.

T89: Narratives of National AI Policies?

with J.P. Singh, Manpriya Dua, and Caroline Wesson,

Minerva Annual Forum, VA, May 02, 2023.

T88: Narrating National AI Infrastructures.

with JP Singh,

Global Forum at Casa De Campo: Artificial Intelligence: Progress or Threat to Humanity? Punta Cana, Dominican Republic, April 14, 2023.

T87: AI for Business and Event Planning.

Invited Talk,

MPI ReConEx, Herndon, Virginia, April 11, 2023.

T86: AI For Society Grand Challenges.

Invited Talk/Lecture,

HNRS 360, Fairfax, VA, April 06, 2023.

T85: What Can Artificial Intelligence Tell Us About American Grand Strategy?

Session on Implications of Artificial Intelligence for Global Politics,

International Studies Association (ISA) Annual Convention, Montreal, Canada, March 17, 2023 (with M Hunzeker).

T84: The Institutional Determinants of National Artificial Intelligence Infrastructures,

Session on Implications of Artificial Intelligence for Global Politics,

International Studies Association (ISA) Annual Convention, Montreal, Canada, March 17, 2023 (with JP Singh).

T83: AI & Science: Gaps, Directions, Synergies.

Invited Talk,

NSF Workshop on AI-Enabled Scientific Revolutions, Alexandria, VA, March 09, 2023.

T82: The Cultural, Economic, and Institutional Determinants of AI Infrastructures and their Consequences in Global Contexts..

PI Meeting Talk,

2022 Trust and Influence Program Review. Minerva Basic Research Forum. Department of Defense, Arlington, VA, March 05, 2023.

T81: Representation Learning from Genotypes to Phenotypes: Linking Chemical and Biological Space in Small Molecules and Macromolecules.

Keynote,

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, LV, December 06, 2022.

T80: Digital Innovation for Digital Therapeutics.

Keynote,

International Symposium on Digital Therapeutics, George Mason University, Arlington, VA, November 09, 2022.

T79: AI For Small and Large Molecules: From Foundational Insight to Understanding and Discoveries.

Keynote,

2022 Interdisciplinary Research Fall Forum, The Ohio State University, Columbus, OH, November 08, 2022.

T78: Artificial Intelligence (AI): How did we Get Here, What is Here, and Where we are Heading.

Invited Talk,

National Leadership Council, Middleburg, VA, October 29, 2022.

T77: AI and our Digital Society

Invited Talk,

Science Tap Program, Loudon County Public Library, VA, October 06, 2022.

T76: Digital Innovation For Good

IDIA Presentation,

George Mason University Board of Visitors Research Committee Report, Fairfax, VA, September 29, 2022.

T75: The Cultural, Economic, and Institutional Determinants of AI Infrastructures and theirConsequences in Global Contexts

PI Meeting Presentation,

DoD Trust and Influence Program, VA, September 15, 2022.

T74: Common Attributes of Successful Proposals.

Invited Talk,

Intelligent Systems for Molecular Biology (ISMB), NIH-NSF Smart Health Program Special Track, Madison, WI, July 12, 2022.

T73: Very Little Data, Some Data, Lots of Data.

Invited Short Talk,

Foundations of Machine Learning and its Applications for Scientific Discovery in Physical and Biological Systems Workshop, Tysons Corner, VA, June 23, 2022.

T72: Small Molecule Generation with Property Control via Disentangled Representation Learning.

Key Speaker,

AI for Bio & Medical Applications at TechConnect World Innovation Conference & Expo 2022 , June 14, 2022.

T71: Negative Broader Impacts of Large Language Models.

Invited Talk,

NVTC Impact AI Summit, Responsible AI by Design: The High Road of Mission AI at Scale Panel, Tysons Corner, VA, May 11, 2022.

T70: The Journey to AlphaFold2.

AI Tea Series Talk,

NSF, CISE, IIS, April 13, 2022.

T69: AI/ML-Driven Scientific Advances: A Personal Journey, Lessons, and Outlook.

Invited Speaker,

IEEE Technical Talk, IEEE Washington/Northern VA Computer Society Chapter, March 15, 2022.

T68: Big Ideas and Big Data.

Invited Speaker,

IEEE BigData, December 17, 2021.

T67: How to Prepare a Successful Proposal for NSF CISE/IIS.

Invited Speaker,

Early CAREER Workshop, Design Automation Conference (DAC), December 05, 2021.

T66: Spatio-temporal machine learning in support of integrative biology.

Invited Speaker,

AMIA Workshop on "Spatio-temporal informatics for Translational Bioinformatics", November 22, 2021.

T65: Deep Learning for Linking Chemical and Biological Space in Small Molecules and Macromolecules.

Key Speaker,

AI for Biomaterials and Drug Design Symposium at TechConnect World Innovation Conference & Expo 2021 , October 19, 2021.

T64: Computer Information, Science, and Engineering (CISE) Directorate.

Keynote,

NSF Grant Conference, October 4-8, 2021.

T63: From Genotypes to Phenotypes: Calling (Deep) Modelers to Step up their Game.

Keynote,

20th Internal Workshop on Data Mining in Bioinformatics (BIOKDD), held virtually in conjunction with SIGKDD 2021, August 15, 2021.

T62: AI-enabled Discovery of Macromolecular Structure, Dynamics, and Function.

Chemical Theory Center Seminar Series,

University of Minnesota, January 22, 2021.

T61: Artificial Intelligence and Data.

State Department’s Great Decisions,

Greenspring Retirement Community, Springfield, VA, December 15, 2020.

T60: Great Disruptions and Expectations: A Perspective in Protein Modeling Research.

Keynote,

10th International Conference on Computational Advances in Bio and medical Sciences (ICCABS), December 12, 2020.

T59: Physics- and Data-driven Studies of Macromolecules.

Keck Center Celebration,

Rice University, October 30, 2020.

T58: A Data-driven Journey into Macromolecular Structure, Dynamics, and Function.

NSF HDR workshop on Knowledge Guided Machine Learning,

August 20, 2020 [youtube video of talk]).

T57: An AI-aided Entry to Modeling Actuated Systems.

AI Tea Series Talk,

NSF, CISE, IIS, April 22, 2020.

T56: Discriminative and Generative Models of Protein Structure, Dynamics, and Function.

Invited Talk,

Clarkson University, Potsdam, NY, April 19, 2019.

T55: A Vision of Data-driven Discovery as the Bedrock of Convergence Research.

Invited Talk,

NSF CISE/IIS, Alexandria, VA, February 06, 2019.

T54: Automatic Extraction of the Organization of Protein Energy Landscapes for Linking Protein Structure to Function.

Contributed Talk,

Energy Landscapes Workshop: Structure, Dynamics and Exploration Algorithms, Kalamata, Greece, September 02-09, 2018.

T53: Recurrent Neural Networks, Generative Models, and Generative Adversarial Networks.

Invited Talk,

Micron Corporation, Manassas, VA, August 24, 2018.

T52: Nga Struktura, te Dinamika, dhe Funksioni i Sistemeve Molekulare dhe Inxhinerike me Algoritme Optimizimi dhe Analize Statistikore.

Invited Talk,

Fakulteti i Shkencave, University of Tirana, June 29, 2018.

T51: Biomolecules in Motion: Sample-based Models of Dynamics Elucidating Function and Mechanisms in the Healthy and Diseased Cell.

Invited Talk,

Symposium on Data Science & Statistics, Reston, Virginia, May 18, 2018.

T50: All about Energy Landscapes: Generating and Analyzing them to Predict and Characterize Protein Structure, Dynamics, and Function.

Invited Talk,

Chemistry and Biochemistry Seminar, George Mason University, Fairfax, VA, April 06, 2018.

T49: An Energy Landscape View of Protein Structure, Dynamics and (Dys)Function.

Invited Talk,

IEEE Intl Conf on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, November 15, 2017.

T48: Sample-based Models of Biomolecular Structure and Dynamics as Microscopes over the Healthy and the Diseased Cell.

Volgenau School of Engineering Seminar,

George Mason University, Fairfax, VA, November 09, 2017.

T47: From Mutations to Mechanisms and Dysfunction via Computation and Mining of Protein Energy Landscapes.

Accepted Oral Presentation,

Intel Systems for Mol Biol (ISMB) 3DSIG, Prague, Czech Republic, July 23, 2017.

T46: Data-driven Stochastic Optimization for Sample-based Models of Protein Energy Landscapes.

Contributed Talk,

Energy Landscapes Workshop: Structure, Dynamics and Exploration Algorithms, Telluride, CO, July 17-21, 2017.

T45: Exploration Bias in Modeling Equilibrium Protein Dynamics.

Invited Talk,

University of Zurich, Zurich, Switzerland, July 12, 2017.

T44: Sample-based Models of (Altered) Protein Energy Landscapes Reveal much about (Dys)Function.

Invited Talk,

Laboratory of Computational Biology, National Heart, Lung and Blood Institute, NIH, Rockville, Maryland, June 29, 2017.

T43: Reconstructing and Analyzing Protein Energy Landscapes.

Guest Lecture,

ECE 699 / BENG 699 Network Control, April 03, 2017.

T42: Autonomous Robotics: Overview.

Guest Lecture,

CS 101, March 09, 2017.

T41: Of Form and Function: Stochastic Optimization Elucidates Role of Dynamics in Proteinopathies.

Invited Talk,

Krasnow Institude for Advanced Study, Seminar Series , George Mason University, February 20, 2017.

T40: Sample-based Representations and Algorithms for Modeling Protein Structure and Dynamics.

Invited Talk,

6th Workshop on Logic and Systems Biology (LSB), 31st Annual ACM/IEEE Symposium on Logic in Computer Science ( LICS ), New York, NY, July 09, 2016.

T39: Should Have Gone to Systems.

Invited Talk,

Women@GECCO Workshop, Science Slam, Genet Evol Comput Conf (GECCO), Madrid, Spain, July 12, 2015.

T38: Recovering Energy Landscapes and Mapping Functionally-relevant Structural Transitions.

Highlight Talk,

Computational Structural Biology Workshop (CSBW), ACM Conf on Bioinf and Comput Biol (BCB), Newport Beach, CA, September 20, 2014.

T37: Molecular Structure and Motion Computation.

Guest Lecture,

CS580, GMU, April 23, 2014.

T36: Probabilistic Approaches to Unravel the Form to Function Relationship in Biomolecular Systems.

Seminar Series,

Institute for Bioscience and Biotechnology Research (IBBR), Rockville, MD, March 10, 2014.

T35: From the Nanoscale to the Petascale: Probabilistic Algorithmic Frameworks for Characterizing Complex Biomolecular Systems in the Presence of Constraints.

Biomedical Engineering Seminar Series,

University of Florida, Gainesville, FL, January 9, 2014.

T34: Advancing Biomolecular Modeling and Simulation: A Probabilistic Approach for Characterizing Complex Systems in the Presence of Constraints.

Volgenau School of Engineering Seminar,

George Mason University, Fairfax, VA, October 17, 2013.

T33: Probabilistic Approaches to Protein Modeling.

Mechanical Engineering Seminar Series,

Johns Hopkins University, Baltimore, MD, February 14, 2013.

T32: Genetic Programming Based Feature Generation for Automated Functional Analysis and Annotation of DNA Sequences.

Rocky Mountain Bioinformatics Conference,

Aspen/Snowmass, Colorado, December 8, 2012 (accepted oral presentation).

T31: Probabilistic Search Frameworks for Protein Modeling.

School of Systems Biology Seminar,

George Mason University, Fairfax, VA, November 20, 2012.

T30: Of Protein Structures and Motions: Probabilistic Search and Optimization.

Applied and Computational Math Seminar,

George Mason University, Fairfax, VA, November 2, 2012.

T29: Probabilistic Search Frameworks for Modeling Structures and Motions of Protein Systems.

ACM BCB Invited Talk ,

Orlando, FL, October 8, 2012.

T28: Probabilistic Modeling and Simulation for Protein Structures and Transitions.

Fox Chase Cancer Center, Philadelphia, PA, October 5, 2012.

T27: Probabilistic Search and Optimization for Protein Modeling and Simulation.

Computer Science Department Seminar,

Drexel University, Philadelphia, PA, October 3, 2012.

T26: Probabilistic Methods for Structural Characterization of Protein Systems.

Computer Science Department Seminar,

Virginia Tech (NVC), Falls Church, VA, March 16, 2012.

T25: Novel Algorithmic Frameworks for Protein Conformational Search.

Bioengineering Department Seminar,

UMD, College Park, MD, February 10, 2012.

T24: Simplifying and Sampling the Protein Conformational Space.

Computational Materials Science Center Colloquium,

George Mason University, Fairfax, VA, February 6, 2012.

T23: Probabilistic Frameworks for Protein Conformational Search: Characterization of Native Structures of Protein Chains and Protein-based Assemblies.

Rocky Mountain Bioinformatics Conference,

Aspen/Snowmass, Colorado, December 10, 2011 (accepted oral presentation).

T22: Probabilistic Search Frameworks for Modeling Structures, Motions, and Assembly of Protein Molecules.

Computational Materials Science Center Colloquium,

George Mason University, Fairfax, VA, November 28, 2011.

T21: Modeling Molecular Motions.

CS101 Guest Lecture,

George Mason University, Fairfax, VA, November 22, 2011.

T20: Probabilistic Search Algorithms to Compute Conformations of the Protein Native State.

Chemistry Department Seminar,

GMU, Fairfax, VA, September 29, 2011.

T19: Characterizing Biological Systems: Of Sequences, Structures, and Interactions.

Introduction to Bioengineering (BENG499) Guest Lecture,

GMU, Fairfax, VA, April 27, 2011.

T18: A Probabilistic Framework for the Characterization of the Protein Native State.

Computer Science Seminar,

Lehigh University, Bethlehem, PA, March 16, 2011.

T17: Molecules in Motion: Computing Structural Flexibility.

CS101 Guest Lecture,

George Mason University, Fairfax, VA, February 10, 2011.

T16: Combining Evolutionary Algorithms with Supervised Learning to Extract Signals from Biological Data.

BioLearn Workshop, BIONETICS,

Boston, MA, December 02, 2010.

T15: Mapping Conformational Spaces of Protein Molecules.

Computer Science Seminar,

University of Massachusetts at Boston, Boston, MA, December 01, 2010.

T14: Characterizing Biological Systems at the Molecular Level.

ACE Scholars Research Highlights,

George Mason University, Fairfax, VA, October 13, 2010.

T13: Probabilistic Methods to Compute Biologically-active Protein Conformations.

Department of Computer Science, College of William and Mary

Williamsburg, VA, June 1, 2010 (invited).

T12: Legos, Stargate, and Algorithms for Molecular Machines.

CS101 Guest Lecture,

George Mason University, Fairfax, VA, October 29, 2009.

T11: Computational Aspects of Sequence, Structure, and Function in Protein Molecules.

NCBI CBB Seminar,

at the NIH, MD, Jun 18, 2009 (invited).

T10: Motions and Assembly of Biological Molecules.

Academic Challenges and Enrichment (ACE) Scholars Program Seminar,

George Mason University, VA, Mar 17, 2009.

T9: Geometric Algorithms for Biological Research: Everything is a Puzzle After All.

GRAND Seminar Series,

George Mason University, VA, Oct 16, 2008.

T7: From Atoms to Molecules to Machines: Computing Protein Motions to Elucidate Function.

Bioinformatics Colloquium,

George Mason University, VA, Oct 7, 2008.

T6: A Multiscale Framework for the Characterization of Protein Native States.

National Meeting of the American Chemical Society (ACS),

New Orleans, LA, Apr 6, 2008.

T5: Computing Structural Flexibility in the Protein Native State.

University of Chicago,

Chicago, IL, Feb 6, 2008 (invited).

T4: Characterizing Native Flexibility in Proteins.

Fox Chase Cancer Center,

Philadelphia, PA, Jan 23, 2008 (invited).

T3: An Integrated Theoretical/Computational Framework to Characterize Biological Systems at the Nanoscale.

Symposium of the Nanobiology Training Program,

Houston, TX, Jul 20, 2007 (invited).

T2: A Computational Framework for Capturing Structural and Motion Properties in Proteins.

Conference on Biomedical Engineering Research,

Houston, TX, Feb 9, 2006.

T1: Sampling Biomolecular Conformations with Spatial and Energetic Constraints.

10-th Annual Structural Biology Symposium at University of Texas Medical Branch,

Galveston, TX, May 21, 2005 (invited).