Serving as an editor at Femington is a role of academic leadership and responsibility. Editors are entrusted with upholding scholarly standards, guiding peer review, and ensuring that publication decisions reflect academic merit and ethical practice.
Independent editorial decisions grounded in unbiased academic judgment.
Clarity & Role DefinitionFemington's editorial structure is designed to ensure subject-matter expertise, defined responsibility, and accountable editorial decision-making.
The Editor-in-Chief provides overall academic leadership for a journal or book series. This role includes defining editorial scope, overseeing peer review standards, making final publication decisions, and appointing associate and guest editors where appropriate.
Associate or Section Editors manage manuscripts within defined subject areas. They oversee the peer-review process, assess reviewer reports, recommend editorial decisions, and ensure consistency with the journal’s academic standards.
Guest Editors are appointed for specific thematic issues or special collections. They manage submissions related to the special issue under the oversight of the Editor-in-Chief and in accordance with Femington’s editorial policies.
Differentiation & MotivationWe provide editors with a structured, independent environment to shape scholarly communication within their field.
Editorial decisions are made independently by editors and are respected without commercial, institutional, or publisher interference.
Editors contribute to shaping the academic direction, standards, and reputation of journals and scholarly series within their field.
Editors play a direct role in defining journal scope, editorial standards, special issues, and the long-term academic direction of their publication.
Femington provides structured editorial workflows, submission systems, and administrative support to reduce operational overhead and allow editors to focus on academic judgment.
Editors operate within a clearly defined ethical framework aligned with responsible research, transparent peer review, and open access principles.
Differentiation & Motivation
Work FlowEditors oversee manuscripts, manage peer review, and make final decisions to ensure quality and integrity.
Editor receives and verifies the submission for subject relevance and review readiness, establishing clear editorial ownership and accountability.
The editor checks scope and quality to decide on peer review this is an editorial decision,not peer review.
The editor selects and invites qualified, conflict-free reviewers to ensure an independent and unbiased evaluation
The editor oversees review progress and quality,ensuring timely feedback while retaining full editorial responsibility.
The editor reviews referee reports and issues a revise, accept, or reject decision, with final authority resting with the editor.
The editor evaluates revised manuscripts and may send them for further review if required.
The editor gives final approval, and the manuscript proceeds to production.
Conversion Without PressureFemington welcomes expressions of interest from qualified academics who share a commitment to responsible publishing and scholarly excellence.
Prospective editors are encouraged to review Femington's editorial and publication policies before submitting an expression of interest.
Afsar Khan is a Senior Architect in Enterprise Architecture with over two decades of experience designing and scaling enterprise-grade data platforms, distributed systems, and applied AI frameworks across Fortune 100 organizations. His work focuses on enabling secure, real-time data ecosystems and governing large-scale AI adoption in complex, high-stakes environments. He has led architecture and engineering initiatives at organizations including Capital One, Apple, and Lithia & Driveway, driving innovations in cloud-native systems, microservices, and data-driven decision platforms.
Beyond his corporate leadership, Afsar is an active researcher whose contributions include patented machine learning systems and high-impact platforms that improve operational efficiency, accuracy, and scalability across enterprise domains. He has authored multiple peer-reviewed publications in cutting-edge areas such as Generative AI, Large Language Model (LLM) optimization, and malware analytics.
Associate Editor, International Journal of Intelligent Systems and Data Science
Afsar Khan is a Senior Architect in Enterprise Architecture with over two decades of experience designing and scaling enterprise-grade data platforms, distributed systems, and applied AI frameworks across Fortune 100 organizations. His work focuses on enabling secure, real-time data ecosystems and governing large-scale AI adoption in complex, high-stakes environments. He has led architecture and engineering initiatives at organizations including Capital One, Apple, and Lithia & Driveway, driving innovations in cloud-native systems, microservices, and data-driven decision platforms.
Beyond his corporate leadership, Afsar is an active researcher whose contributions include patented machine learning systems and high-impact platforms that improve operational efficiency, accuracy, and scalability across enterprise domains. He has authored multiple peer-reviewed publications in cutting-edge areas such as Generative AI, Large Language Model (LLM) optimization, and malware analytics.
