Resume

• 2012

  Doctor of Science

  Doctoral Research Fellow studying topics in Artificial Intelligence

  Computer Science

  Dissertation of the Year Award

  May 2018\nOutstanding Doctoral Student Award

  April 2017\nGraduate Student Association Representative on the Bowie State University Council's IT Committee

  Bowie State University

  Doctoral Research Fellow

• 2009

  Master Certificate

  Lean Six Sigma (Information Technology and Health Care)

  Villanova University

• 2004

  American Red Cross

  Bowie State University

  Danya International

  Bowie

  MD

  Instructor for 100-level 300-level

  500-level and 800-level computer science courses

  Adjunct Faculty

  Bowie State University

  Silver Spring

  MD

  Vice-President

  Danya International

  Springfield

  VA

  \nProcess Optimization and Cost Savings: Optimized IBM mainframe utilization by eliminating unnecessary data sets

  backups

  and jobs

  resulting in annual savings of $1.6M+.\n\nTeam Leadership and Training Programs: Managed 50 architects and web developers

  instituting a formal training program to grow staff knowledge of web application and SOA technologies.\n\nServer Consolidation and Storage Area Network (SAN): Consolidated server farm from 214 servers to 40 by implementing 9 terabyte storage area network (SAN). These efforts cut operating costs and reduced downtime.\n\nE-commerce and Financial Performance Improvement: As corporate e-commerce initiative lead

  launched corporate web portal on time and under budget

  saving ~$300K. Exceeded financial performance targets by an average of 375%.\n\n

  Director of Enterprise Architecture

  Washington Gas & Light

  Columbia

  Md.

  Team Leadership and Project Management: Manage 7 direct and 45 indirect reports

  leading all proposal development and project implementation efforts for federal clients. To date

  oversaw 50+ client engagements with budgets ranging from $250K–$10M.\n\nIT Strategy: Develop comprehensive IT strategies

  incorporating dynamic approaches to software development

  product management

  and enterprise systems. \n\nPredictive Analytics and Project Metrics: Gather and assess engineering metrics

  applying analysis algorithms to predict project performance

  identify risks

  and prevent defects. \n\nData Systems: Design

  construct

  install

  test

  and maintain highly scalable data management systems

  ensuring systems meet business requirements and align with industry best practices.\n\nTechnical Leadership: Serve as primary resource channel for technical questions

  delivering clear guidance and targeted solutions.\n\nITIL Process Implementation: For the Department of Health and Human Services

  established ITIL-based service management practices for large-scale Oracle and DB2 database environments

  managing complete extract

  transform

  load (ETL) process.\n\nService-Oriented Architecture (SOA) and Legacy Modernization: Architected technology transformation from mainframe and PC-based siloed applications into service-oriented architecture (SOA)

  modernizing operations for Department of Veterans Affairs. \n\nCloud Applications: For the U.S. Department of Commerce’s Small Business Administration (SBA)

  consolidated multiple applications running on 75+ Windows/Unix servers into a private cloud infrastructure

  using VMWare-based virtualization and the Dell VxRAIL platform. \n\nCapability Maturity Model Integration (CMMI): Formulated and deployed corporate practices that boosted independent Capability Maturity Model Integration (CMMI) appraisal rating from 1 to 4 for development services. \n

  Chief Information Officer/CTO/CISO/FSO

  Select Computing

  Silver Spring

  MD

  Distinguished Member of the Technical Staff (DMTS)

  Verizon

  Washington

  DC

  \nEnterprise Architecture: Developed an enterprise architectural strategy and design for disaster relief projects

  refining organizational flexibility

  driving workflow efficiencies

  and enhancing assistance relief processes. \n\nStrategic Leadership: Provided strategic/tactical guidance on architecture and design

  facilitating the implementation of development methodologies

  tools

  and best practices.\n\nProfessional Mentoring: Trained

  mentored

  and liaised with 70+ developers

  engineers

  and data professionals in order to implement SOA-based applications.

  Lead Enterprise Architect

  American Red Cross

• 1996

  Statoil

  Select Computing

  Verizon

  Dunedin Systems

  Alexandria

  VA

  \nTeam Building and Strategic Hiring: Built IT teams from the ground up

  hiring 10 senior managers and overseeing organizational growth. Restructured and optimized processes to improve struggling areas of operation. \n\nWorkforce Management: Directed 95 staff members (including developers

  network administrators

  and database administrators)

  managing multiple complex projects across international boundaries. \n\nBusiness Continuity Planning: Deployed comprehensive business continuity program to ensure uninterrupted trading floor activities

  skyrocketing network and systems availability from 60% to 99.9%. \n\nExecutive Management and Rapid Revenue Growth: As 1 of 3 corporate chief architects to serve on the executive management team

  played a key role in tripling corporate revenue to $3.5B over the course of 3 years. \n

  Chief Information Officer (Statoil Energy USA)

  Statoil

  Bowie

  MD

  President

  Dunedin Systems

  Singapore

  Member of the Editorial Board

  Progress in Human Computer Interaction Journal

  Certified Enterprise Architect

  Enterprise Architecture Center of Excellence

  ACM

  ISACA

  Member

  IEEE

  AACEI

  Project Management Institute

  Member

  ISAC

  (ISC)2

  English

  French

  Portuguese

  Outstanding Doctoral Student

  Presented for exceptional academic achievement

  Bowie State University

• 1990

  MS

  Computer Science

  Graduate Student Association

  Bowie State University

  CISSP

  International Information Systems Security Certification Consortium (ISC2)

  Project Management Institute

  Project Management Professional

  (ISC)²

  Certified Information Systems Security Professional (CISSP)

  Certified Enterprise Architect

  Enterprise Architecture Center of Excellence

  Certified Ethical Hacker (CEH)

  EC-Council

  EC06308444719

  Certified Scrum Master

  Scrum Alliance

  Defense Security Service

  Facility Security Officer for Possessing Facilities

  Data Engineering Nanodegree

  Udacity

• 1982

  BA

  Computer Science

• PMP

  Requirements Analysis

  Agile Methodologies

  Project Management

  MS Project

  Integration

  Change Management

  Program Management

  Enterprise Architecture

  Risk Management

  Process Improvement

  SDLC

  Web Services

  Business Analysis

  Visio

  Business Intelligence

  Software Development

  SharePoint

  Microsoft SQL Server

  IT Strategy

  Topic-based Service Integration in Software Systems

  darsana Josyula

  Over the last several years

  several technologieshave been introduced to address the application integrationchallenge in software systems. These technologies impart certainapproaches and methodologies to integration efforts

  based ontheir own strengths and weaknesses. This paper describes anintegration blueprint for applications that is independent of anyparticular technology. It presents an integration capabilitymaturity model to enable an agnostic comparison and evaluationof integration scenario needs

  Topic-based Service Integration in Software Systems

  This white paper discusses three broad approaches to systems modernization: process-driven

  data-driven

  and code base reconditioning. It discusses the use of Agile methodologies and the role of the CMMI.

  Systems Modernization Strategies

  Darsana Josyula

  The Kasai is an algorithm for processing data series. It organizes the incoming data series as a set of rules and these rules are used to predict the next item in the data series. In this paper

  we analyze the ability of Kasai to make reliable predictions. We apply Kasai to predict weather using Weather Underground data and compare Kasai’s performance with standard Weka machine learning algorithms on the same dataset.

  Applying the Kasai to Weather Prediction

  darsana josyula

  Can intelligence be produced simply by reverse engineering the brain of an intelligent animal? In this paper

  we argue that such reverse engineering will be ineffective if the focus is on reverse-engineering the brain mapping. We believe that the brain “hardware” implements a “system” and our work focuses on emulating this basic brain system and to provide it the necessary interfaces to support a collective intelligence

  Emulating a Brain System

  Darsana Josyula

  The paper presents the architecture of a general-purpose metacognition engine. It is a software agent that collaborates with a host to provide it with metacognitive capabilities. The objective is for the combined system to exhibit adaptive intelligent behavior.

  General Purpose Meta-cognition engine

  As computer technology further embeds itself in all aspects of our society

  there continues to be a need for skilled software programmers. However

  the continued difficulty in attracting and maintaining interest in this field is a significant impediment to progress. The major problem is that prospective programmers need to learn new patterns of reasoning simultaneously with programming languages and computer science. In other fields of study

  students already possess the fundamental reasoning patterns before attempting to learn the subject. This paper introduces the reasoning pattern programming requires

  \nDomain Simplification

  \n through a curriculum supported by a learning tool

  \nFuraha \n. Domain simplification encompasses three critical skills; object identification and abstraction

  event-driven thinking and iterative design. The objective is to teach Domain Simplification at an early stage of development simultaneously with\nthe student’s exposure\nto the other established reasoning patterns. This solution is innovative in that it specifically focuses on providing fundamental reasoning skills that support systems and software engineering. It is not a general platform for creative thinking. The paper outlines how the architecture of Furaha and the structure of the programming language support the development of Domain Simplification skills. To determine the effectiveness of Furaha

  we describe a curriculum leading to a study that demonstrates the learner’s level of mastery of Domain Simplification\n.

  Teaching Domain Simplification using Furaha

  This white paper describe an Agile transformation road map for enterprises.

  Best Practices for Enterprise Agile Transformation

  Darsana Josyula

  GPME enhances the function of host agents by enabling them to develop and apply advanced\nbehaviors. In this paper

  we demonstrate the subset of GPME algorithms that are used to identify host behaviors from a time-series of perceptions about host observations and host actions.

  Using Automatic Case Generation to Enable Advanced Behaviors in Agents

  Darsana Josyula

  Marvin Conn

  Behavior adaptation is an integral aspect for autonomous agents to survive in a world where change is normal. Animals change their foraging routines and socializing habits based on predator risks in their environment. Humans adapt their behavior based on current interests

  social norms

  stress level

  health conditions

  upcoming deadlines and various other factors. Artificial agents need to effectively adapt to changes in their environment such that they can quickly adjust their behavior to maintain performance in the changed environment. In this paper

  we present a multi-level metacognitive model that allows agents to adapt their behavior in various ways based on the resources available for metacognitive processing. As the agent operates at higher levels of this model

  the agent is better equipped to adapt to a wider range of changes. The model has been tested on 2 different applications: (i) a reinforcement learner-based agent trying to navigate and collect rewards in a seasonal grid-world environment and (ii) a convolutional neural network-based agent trying to classify the signals in a radio frequency spectrum world and separate them into known modulations and unknown modulations.

  Multi-level metacognition for adaptive behavior

  darsana josyula

  Artificial agents need to adapt in order to performeffectively in situations outside of their normal operationspecifications. Agents that do not have the capability toadapt to unanticipated situations cannot recover fromunforeseen failures and hence are brittle systems. Oneapproach to deal with the brittleness problem is to have ametacognitive component that watches the performance of ahost agent and suggests corrective actions to recover fromfailures. This paper presents the architecture of ametacognitive agent that can be integrated with any hostcognitive agent so that the resulting system can dynamically\ncreate expectations about observations from a host agent’s\nsensors

  and make use of these expectations to noticeexpectation violations

  assess the cause of a violation andguide a correction if required to deal with the violation. Theagent makes use of the metacognitive loop (MCL) and threegeneric ontologies -- indications of failures

  causes of failures and responses to deal with failures. This paper describes the work undertaken to enhance the currentversion of an MCL based agent with the ability toautomatically generate expectations

  Integrating Metacognition into Artificial Agents

  The Kasai Algorithm analyzes non-random data series to derive a set of rules that represents the patterns found in the data series. The rules represent a sound and compact abstraction of the data series that can be used for analysis

  for reproduction of the original data series or for prediction. The Kasai Algorithm is an attempt to unify the symbolic and connectionist paradigm into a unified model.

  The Kasai Algorithm

  Darsana Josyula

  IARIA Cognitive 2013

  Agents situated in dynamic environments havelimited time to deliberate before performing their actions.Cautious agents that deliberate for too long may miss deadlinesto accomplish tasks whereas bold agents that deliberate fortoo little time may behave rashly or miss opportunities. Thereare several approaches discussed in the literature that rely onmeta-level mechanisms to monitor and control the deliberationtime. These approaches seem to follow the view that the meta-level mechanism is an external component not constrainedby the same resource limitations as the underlying agentsdeliberation mechanism. In this paper

  we present an approachto time-bounded metacognition wherein an agent monitors andcontrols its deliberation and metacognition within the uniformframework of Active Logic.

  Time Bounded Metacognition

  Dissertation for the Degree of Doctor of Science (DSc)\nIntelligence is the ability to acquire behavior through observation of the environment

  including other\nindividuals

  and to select the correct behavior in response to stimuli emanating from the environment.\nIn this dissertation

  we describe the Behavior Oriented Intelligence framework

  with a focus on the\nabstract data type that supports the knowledge base of a behavior oriented artificial intelligence.

  Behavior Oriented Intelligence

  The leading Agile Frameworks

  SAFe

  DAD and LeSS

  scale Scrum up for large projects and programs. Scrum and Agile methodologies have increased the effectiveness of software development teams. However

  Agile methodologies often have to be augmented by other measures to scale up properly to large projects

  where an organization has up to 100 or more software developers

  analysts

  and testers. Team size increases communication and organizational risks on Agile delivery teams. All of the Agile frameworks require high maturity processes to control the complexities of working with a large program. We discuss how to combine CMMI and Agile to ensure project success.

  CMMI and Agile: Apply Both for Project Success

  Darsana Josyula

  At higher levels of abstraction

  there are finite and limited ways in which agents can fail. Therefore

  it is possible to create a general purpose agent that notes anomalies

  assesses them and guides responses. The metacognitive loop (MCL) agent aims to achieve this objective using three ontologies; indica-tions

  failures and responses. Continued applications of the MCL agent to in-creasingly more complex situations requires that the MCL agent be equipped with a flexible interface that enables integration with a variety of cognitive agents without programming

  and

  with a persistence capability that inde- pendently and actively monitors expectations over time as well as generate ex- pectations dynamically. This paper describes the work undertaken to produce MCL3

  a general purpose metacognitive agent that builds upon the existing MCL2 implementation

  Architecture for a General Purpose Metacognitive Agent

  Darsana Josyula

  This paper summarizes a work in progress in the area of the metacognitive loop (MCL). The objective of MCL is to provide a design approach supported by software to extend\nan intelligent system’s ability to cope with perturbations. A\nperturbation is any deviation from optimal performance for the system. Many MCL implementations exist

  each increasing in sophistication. This paper describes an approach to produce the next implementation of MCL

  which we call the General Purpose Metacognition Engine (GPME). The GPME evolves the functionality of the current implementation developed at the University of Maryland

  MCL2

  in particular

  to handle seasonality. Seasonality is a periodic or cyclic variation in conditions that causes agents to re-learn when the length of the seasonal cycle exceeds their ability to detect the cycle

  Handling Seasonality using Metacognition

  I am a strategically minded C-level executive with more than 20 years of experience directing IT resources and delivering critical performance improvements. By leveraging a metrics-driven approach

  my team leadership skills

  and a background in systems development

  I cultivate an agile

  high-performance environment. A certified ScrumMaster who directs complex

  multimillion-dollar projects

  I adeptly align technology initiatives with overall business objectives. I hold a doctorate degree in computer science and have an in-depth knowledge of the latest IT tools.\n\nKey Accomplishments:\n\n— With Select Computing

  Inc.

  manage 7 direct and 45 indirect reports

  oversee project budgets ranging from $250K–$10M

  and develop comprehensive IT strategies. \n— Formulated and deployed corporate practices that boosted independent Capability Maturity Model Integration (CMMI) appraisal rating from 1 to 4 for development services.\n— For Washington Gas & Light

  launched corporate web portal on time and under budget

  saving ~$300K. Exceeded financial performance targets by an average of 375%.\n— For Statoil Energy

  deployed comprehensive business continuity program to ensure uninterrupted trading floor activities

  skyrocketing network and systems availability from 60% to 99.9%.\n

  Kenneth

  M'Bale

  Progress in Human Computer Interaction Journal

  Washington Gas & Light