Q1 journal selection
Scope fit, quartile, review time and APC compared for your paper.
Covered on Day 1 ›Admissions open SCI Q1 Research Paper Training Program
Twelve days from a research gap to a submitted Q1 manuscript.
Built for researchers in Large Language Models
You write one part of your own paper each day in a live session. A mentor reviews it before the next day starts. On Day 12 you submit to the Q1 journal you chose on Day 1.
₹1.5 L or US$2,000
Daily live sessions
Next batch in
Led by Dr. S. Satyanarayana, Ph.D., PDF (AI)
Day 1 of 12
12Days of intensive training
22Training modules
20Research areas mentored
10Countries of participants
60+SCI, Scopus and IEEE papers by the lead mentor
Manuscripts formatted and positioned for
IEEE TransactionsSpringerElsevierWileyTaylor & FrancisACMNature portfolioSCI indexedScopus Q1/Q2
How it works
Five steps from your first message to a manuscript under review.
- 1
Send an enquiry
Tell us your area and where your paper stands.
- 2
Scoping call
We check that your work fits the 12-day track and agree a batch.
- 3
Twelve live days
One manuscript section a day, reviewed before the next session.
- 4
Submit on Day 12
Your paper goes to your chosen Q1 journal with a submission ID.
- 5
Answer reviewers
You leave with a response-letter template for the revision round.
Your 12-day journey
Pick a phase or a day. Each day shows the live session, your practice tasks, and what you hand in. The manuscript fills in with each day's colour.
Day 1
Manuscript complete0%
DiscoverWrite the coreBuild and provePublish
Prefer a plain list? Open all 12 days
| Day | Topic | Training focus | You hand in |
|---|---|---|---|
| Day 1 | Journal targeting and research gap | Q1 SCI-indexed journal selection based on research; Research gap identification | Journal shortlist with scope-fit notes and an approved gap statement |
| Day 2 | Problem formulation, title and keywords | Problem formulation; Title crafting & keywords optimization strategy | Problem statement, contribution list, final title and keywords |
| Day 3 | Literature review and survey | Comprehensive literature review & survey; Citation management | Related Work draft, comparison table and a clean .bib library |
| Day 4 | Introduction, background and motivation | Introduction with background & motivation | Complete Introduction, about 1–1.5 two-column pages |
| Day 5 | Methodology and experimental design | Research methodology design & experimental setup | Methodology outline and experimental protocol table |
| Day 6 | Algorithm development and pseudocode | Algorithm development & pseudocode design | Proposed-method section with Algorithm 1 and complexity analysis |
| Day 7 | Mathematical formulation and theorem proofs | Mathematical formulation & theorem proofs | Formulation subsection with numbered equations and notation table |
| Day 8 | Implementation and code quality | Implementation using Python/TensorFlow/PyTorch; Code optimization & software engineering best practices | Working implementation with first results logged |
| Day 9 | Experiments, statistics and comparative evaluation | Statistical analysis & performance metrics; Results interpretation & comparative evaluation | Results tables with statistics and a Results and Discussion draft |
| Day 10 | Figures, diagrams and LaTeX formatting | Professional figures, charts & architecture diagrams; LaTeX document preparation & IEEE/Springer formatting | Full manuscript compiled in the journal's template |
| Day 11 | Abstract, reproducibility and references | Abstract structuring & impact statement writing; Reproducibility guidelines & GitHub repository setup; Citation management & reference formatting | Final abstract, public code repository and clean references |
| Day 12 | Desk-rejection check, submission and rebuttal | Desk rejection avoidance & submission strategies; Reviewer response letters & rebuttal writing | Manuscript submitted to your chosen Q1 journal, with a submission ID and a rebuttal template ready |
Is your paper ready for 12 days?
Answer three questions for an honest read on fit, and see which days will need the most of your time.
Research areas we mentor
Bring work in any of these areas. Tap yours and it is added to your enquiry.
Global clients and students
Sessions are live and online, so participants join from:
- 🇺🇸USA
- 🇨🇦Canada
- 🇮🇳India
- 🇬🇧UK
- 🇦🇺Australia
- 🏙️Dubai
- 🇸🇬Singapore
- 🇩🇪Germany
- 🇦🇪UAE
- 🇲🇾Malaysia
Publication support included in the 12 days
Everything a Q1 submission needs, taught hands-on and applied to your own paper.
Gap and problem formulation
A gap statement and contributions an editor can verify.
Covered on Day 2 ›Literature review and survey
Themed review, comparison table and a clean reference library.
Covered on Day 3 ›Methodology and experiments
Datasets, fair baselines, metrics and ablations planned properly.
Covered on Day 5 ›Algorithms and proofs
Pseudocode, complexity analysis and checkable mathematics.
Covered on Day 6 ›Implementation
Clean Python, PyTorch or TensorFlow code with tests and logging.
Covered on Day 8 ›Statistics and results
Significance tests and results that explain why, not only what.
Covered on Day 9 ›Figures and LaTeX
Architecture diagrams, vector plots and IEEE or Springer templates.
Covered on Day 10 ›Reproducibility
A public GitHub repository reviewers can run, with a DOI.
Covered on Day 11 ›Submission and rebuttal
Desk-rejection check, cover letter, submission, and a reviewer-response template.
Covered on Day 12 ›Everything above, in one program
Twelve live days, daily mentor review, and your paper submitted by Day 12.
₹1,50,000 or US$2,000
Dr. S. Satyanarayana
Ph.D., PDF (AI). Founder, CEO and Chief AI Scientist, AlgoProfessor AI R&D Solutions
60+SCI, Scopus and IEEE publications
11+Patents
11Books
- Editor-in-Chief, IJCMI
- International postdoctoral research co-supervisor at NYUST (YunTech), Taiwan, and NKUST, Taiwan
- D.Eng. in AI and Deep Learning; Ph.D. degrees in Graph ML and Cloud Computing; postdoctoral fellowship in AI
Training, not ghostwriting
Many publication services write the paper for you and promise acceptance. We teach you to write it, and we say plainly what we can and cannot promise.
Typical paper-writing agency
- An assigned writer drafts the paper in your name
- "Guaranteed acceptance" promises
- Staged fees that grow after acceptance
- You learn nothing you can reuse for the next paper
- Authorship and AI-use policies ignored
AlgoProfessor 12-day program
- You write every section; mentors review and line-edit
- Honest outcome: a well-prepared submission, decided by editors
- One published fee: ₹1,50,000 or US$2,000
- A repeatable method for every paper after this one
- Similarity checks and AI-use disclosure covered on Day 12
From past participants
Program fee
One fee for the full 12 days. No staged charges.
India
Participants in India
₹1,50,000
for the 12-day program
- 12 days of intensive training
- Daily live interactive practice sessions
- Mentor review of every day's deliverable
- Paper submitted to a Q1 journal within 12 days
International
International participants
US$2,000
for the 12-day program
- Same 12-day plan and live sessions
- Session times agreed for your time zone
- LaTeX, code and figure sources are yours to keep
- Payment details shared after the scoping call
Questions people ask
Who is this program for?
Ph.D. scholars, faculty, postdoctoral researchers and industry researchers who have a research idea or early results in one of the listed areas and want to publish in an SCI Q1 journal.
Do I need results before I join?
Twelve days is fastest when you already have a working idea and some experiments. If you are starting from an idea only, say so in the form: the scoping call will tell you honestly whether your work fits the 12-day track.
Is acceptance guaranteed?
No. Editors and reviewers decide acceptance, and any service that guarantees it should worry you. You leave with a well-prepared manuscript submitted to your chosen journal and a plan for the revision round.
Who writes the paper?
You do. Mentors teach, review and line-edit, but the research, data, code and writing are yours. Authorship follows your institution's rules and the journal's policy, and Day 12 covers similarity checks and AI-use disclosure.
How are the sessions run?
Every day has a live interactive session, then guided practice on your own manuscript, then mentor review before the next session.
Are there any charges beyond the program fee?
No charges from AlgoProfessor beyond ₹1,50,000 or US$2,000. Some journals charge their own article processing fee (APC) for open access; Day 1 shows you how to check this before choosing a journal.
What do I keep at the end?
The submitted manuscript and its submission ID, the LaTeX source in your journal's template, your figure sources, a public code repository, and a reviewer-response template.