ARCS-ai Armenia Fund

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Advanced Research in Computational Sciences & Artificial Intelligence

ASOF’s Initiative in Sciences & Technology for Armenia

Project Budget & Outline

Start small, and build towards regional & international prominence

Budget for 2025

Total support request from Armenia Fund

Key Deliverables for 2025

Teaching Component

International Workshop

❖ Delivering 22 classes to undergraduate and graduate students in Armenia

❖ Involve 75+ students across multiple universities

An additional $130,000 has already been committed by FAR and AUA + funding for the biotech direction through FAST currently under consideration

❖ 10 scholars from abroad teaching classes and engaging in collaborative research Training of local teaching assistants

❖ One week-long international workshop on the interface of A.I. and robotics

❖ 5 prominent experts delivering 5 lectures each on current advances in robotics and A.I.

❖ 100+ attendees from centers of excellence from around the world

❖ Interfacing for local industry and academic institutions

Research & Laboratory

Establish one teaching laboratory for hands-on training in Robotics, A.I., and imaging at Engineering City.

2 research projects in A.I. leveraging the new $8.5 million supercomputer that was secured through ASOF efforts: Molecular synthesis through A.I., Armenian natural language model.

2 research projects in robotics: Robotics vision via AI-driven optics design for drones, Image-based AI perception.

Longer Term Goals

As Determined by the Council on an Ongoing Basis

Armenia has the potential to become a regional powerhouse in certain areas of science and technology that can provide for its security and wealth.

Key to achieving this is to make use of the extensive network of professional Armenians at universities and research centers around the world.

Key Directions in the Sciences & Technology for Armenia

These directions require relatively modest resources for infrastructure, but a highly educated and skilled workforce that is internationally networked with centers of excellence around the world.

The strategy is to start with local capacity building through education and training.

ARCS.ai Governance

Governance Model & Operations

ASOF

Appoints

ASOF Council Appoints

ASOF Advisory Groups Advises

❖ Teaching & training programs

❖ Research programs

❖ Grant writing

❖ Seminars & Workshops

❖ Visitor program

❖ Tech transfer office Board

Educational & Research Institutions

Financial Partners and Patrons

Project/Industry Partners

The ARCS.ai Council, 2025-26

Appointed by the ASOF Executive Board

Armen Aghajanyan

FAIR (Meta)

Deep Learning, Large Language Models, NLP

Artur Alaverdyan

Co-Founder, Member of Board, Foundation for Armenian Science and Technology

Applied Physics, Entrepreneurship, High-Tech

Armen Askijian

Chief Technology Officer, Airbus U.S. Space and Defense

Aerospace Engineering, Space and Satellites, Mechanical Engineering

Diane Barber

Professor, Department of Cell and Tissue Biology, University of California San Francisco

Cell biology

Justin Du Bois

Henry Dreyfus Professor of Chemistry, Professor of Chemical and Systems Biology, by courtesy, Stanford University

Chemical Biology, Chemistry

Naira Hovakimyan

Professor, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign

Control Theory, Optimization

Adam Kablanian

High-Tech Executive, Entrepreneur, and Investor Founder of Alexandrea Winery

Electrical Engineering, High-Tech

Ann Karagozian

Distinguished Professor, Department of Mechanical and Aerospace

Engineering, University of California, Los Angeles

Combustion, Fluid Mechanics, Propulsion

Council on Sciences & Technology

A Committee of the Armenian Society of Fellows

Sarkis Mazmanian

Luis and Nelly Soux Professor of Microbiology, California Institute of Technology

Microbiology, Neuroscience

Alexandre Persat

Global Health Institute and Institute for Bioengineering, Ecole

Polytechnique Fédérale de Lausanne (EPFL)

Biology, Biophysics, Microbiology

Ardem Patapoutian (Nobel Laureate)

Professor, Department of Neuroscience, The Scripps Research Institute Biology

Neuroscience

Vahe Petrosian

Professor of Physics and Applied Physics Departments, Chair of Astronomy Program, Stanford University

Astrophysics, Cosmology

Dork Sahagian

Professor, Department of Earth and Environmental Sciences, and the Environmental Initiative, Lehigh University

Climate Change, Geophysics, Science and Society, Volcanology

Armen Zakarian

Vice Provost for Research, Professor and Chair, Department of Industrial and Manufacturing Systems Engineering, University of Michigan Dearborn

Data Analytics, Digital Manufacturing, Systems Engineering

Representatives from the Armenian Government (Ex-Of fi cio)

Ministry of ESCS

Ministry of HTI

Parliament of the Republic of Armenia

The ARCS.ai Armenia Board 2025-26

Appointed by the ARCS.ai Council

Haig Alexander Eskandarian

Department of Systems Biology, Harvard Medical School Biology, Medicine, Microbiology

Aram Galstyan

University of Southern California, Amazon Artificial Intelligence, Computer Science

Ivan Aprahamian Professor, Chair of the Chemistry Department, Dartmouth College Organic Chemistry, Adaptive Materials

Oshin Peroomian (Treasurer)

CTO Metacomp Technologies, Inc. and Adjunct lecturer at AUA

Computational Fluid Dynamics, Computational Multi-Physics

Nora Ayanian (chair)

Professor, Brown University

Computer Engineering, Computer Science, Robotics

Karen Eguiazarian (Vice-Chair)

Professor in Signal processing, Tampere University, Finland, and CEO of Noiseless Imaging Ltd

Computational imaging & optics

Vatche Sahakian (Secretary)

Burton Bettingen Professor in Theoretical Physics at Harvey Mudd College

Patrons

Execution Team 2025-26

Teaching, Research, & Workshop

Instructors

Nora Ayanian

Professor of Robotics, Brown University

Armen Aghadjanian

Meta A.I.

Karen Eguiazarian

Professor in Signal processing, Tampere University, Finland, and CEO of Noiseless Imaging Ltd

Aram Galstyan

University of Southern California

Iren Mkhoyan

Delft University of Technology, Airbus

Sevak Mkrtchyan

Professor, Department of Mathematics, University of Rochester

Mihran Papikian

Professor, Department of Mathematics, Pennsylvania State University

Oshin Peroomian

CTO Metacomp Technologies, Inc.

Armen Shirikyan

Professor, Department of Mathematics, CY Cergy Paris University

Anush Tserunyan

Professor at McGill University, Mathematics and Statistics

Department

Local Instructors

Avetik Grigorian

President of AYAS Armenian Aerospace Society and CEO at Bazoomq Space Research Laboratory

Astghik Hakopyan

Polytechnic University of Armenia and CSIE

Hrachya Kocharyan

Assistant Professor, American University of Armenia, Materials & Mechanical Engineering

Hrant Khatchatryan

YerevanN and Yerevan State University

Masis Komrokian

IAN consulting, Founder

Research Group

Nora Ayanian

Professor of Robotics, Brown University

Astghik Hakobyan

CSIE, Robotics

Hrant Khatchatryan

Plus 12 members of YerevanN A.I. team

Karen Eguiazarian

Professor in Signal processing, Tampere University, Finland, and CEO of Noiseless Imaging Ltd

Curricular Program

Mathematics, Aerospace Engineering, Robotics, and A.I.

15 Instructors

Mathematics Classes (hybrid format)

Mathematical Analysis I (15 weeks)

Mathematical Analysis II (15 weeks)

Mathematical methods in classical mechanics (15 weeks)

Ordinary Differential Equations (15 weeks)

Complex Analysis (15 weeks)

Algebra and Number Theory I (15 weeks)

Measure theory and ergodic theory (15 weeks)

Aerospace Engineering Classes

(in-person format, funded by AUA)

Introduction to Aerospace Engineering (3 weeks)

Introduction to Aerodynamics (15 weeks)

Flight and Orbital Mechanics (15 weeks)

Aerospace Systems & Control (15 weeks)

Aerospace Materials and Manufacturing (10 weeks)

Design and Analysis of Aerospace Structures (15 weeks)

22

Classes

75+ Students

Systems Engineering for Aerospace (15 weeks total)

Part I: Unmanned Aircraft Design (7.5 weeks)

Part II: Spacecraft Design (7.5 weeks)

Robotics and A.I. (in-person format)

Introduction to Robotics (10 weeks)

Computer Vision and Deep Learning for Robotics (10 weeks)

Advanced Robotics (10 weeks)

Image Processing and Robot Perception (10 weeks)

Robot Control Systems (10 weeks)

Planning for Autonomous Robots (10 weeks)

Assessment & Reviews

Students in all courses will provide anonymous evaluations of their experience. This information will be reviewed by ASOF Fellows specializing in educational assessment. At the end of the year, the ARCS.ai Board will present the outcomes of the year’s educational and training activities to the Council.

Research Program & Laboratory

Teaching with hands-on training

The project will set up a teaching laboratory in robotics at Engineering City. The laboratory will be used for teaching graduate students the foundations of robotics, and will also function as a foundation for an expansion into a larger research laboratory in an adjacent building in

Project 1:

Robotics vision via AI-driven optics design

Improve vision of autonomous robots using advanced optics design in challenging environments.

Application: Navigation of autonomous robots in lowlight environment.

Project 2:

Image-based AI Robot perception

Co-design of optics and image-based robot perception.

Application: Material identification, texture analysis.

The A.I. research will use the new nVidia supercomputer that Armenia purchased through the efforts of ASOF and which is being currently set up at Yerevan State University. The RA contributed $8.5 million for this.

Large Language Models for Life Sciences

Molecular design for pharmaceuticals based on a natural language model.

Project 2: Armenian Centric Translation System

For applications in business, literature, security, and soft power projection.

The Armenian Society of Fellows

Société Savante Arménienne Bibliothèque Nubar, 11 Sq. Alboni, 75016 Paris, France

The Markarian chain of galaxies

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