Dr.MostaqueHassan
Director cum Founder, Algoguido Technologies Pvt. Ltd.
Pursuing Post-Doctoral Fellowship, Eudoxia Research University, USA
Principal Data Scientist Instructor, upGrad Education
PhD in Computer Science, Gauhati University.
Dedicated Researcher in AI, Deep Learning & Network Security
Director cum Founder
Algoguido Technologies Pvt. Ltd.
Biography
A dedicated academic leader, AI researcher, and industry practitioner with over 19 years of experience in higher education, research, and industry-integrated training. Currently rendering services as Director cum Founder at Algoguido Technologies Private Limited, Guwahati, leading initiatives in data science, AI-driven solutions, and skill development through industry-oriented, project-based learning, while actively contributing to talent mentoring and research-driven innovation.
Holding a PhD in Computer Science (Gauhati University, 2019) and pursuing a Post-Doctoral Fellowship at Eudoxia Research University, USA, my research interests include AI, Machine Learning, Network Security and GAN-based Image Generation. I have authored peer-reviewed papers, books, and patents, and guided over 500 academic and industrial projects.
Bringing together academic leadership, research expertise, and corporate exposure, I am committed to advancing innovation, quality education, and effective academic governance.
"Bridging theoretical AI with practical engineering — one algorithm at a time."
Publications & Research
Peer-reviewed journals (SCIE/Scopus), book chapters, conference proceedings, and filed patents spanning AI, deep learning, cloud security, and health informatics.
28
Works
94+
Citations
5
Featured
Energy Efficient Cyber-Physical Control of Renewable Microgrids Using Edge-AI Enabled IoT and Secure Blockchain Coordination
Dr. Mostaque Hassan, et al.
Scientific Reports (IF: 3.9)
This paper introduces an energy-efficient cyber-physical control framework for renewable microgrids, leveraging edge-AI enabled IoT devices and ensuring secure coordination through blockchain technology.
CottonNet-MHA: A Model for Detecting Cotton Disease Based on Deep Learning
Hassan, M.M.M. et al.
Frontiers in Plant Science (SCIE/Scopus, IF: 4.8)
CottonNet-MHA introduces a multi-head attention mechanism integrated into a convolutional neural network architecture for accurate detection of cotton plant diseases from leaf images. The model achieves state-of-the-art accuracy on benchmark datasets, offering a practical tool for precision agriculture and early disease intervention in cotton farming.
An Improved Hybrid Feature Selection and Classification Framework for Breast Cancer Detection Using Mammography Images
Hassan, M.M.M. et al.
Ain Shams Engineering Journal (SCIE/Scopus, IF: 5.9)
This paper presents an improved hybrid feature selection and classification framework for breast cancer detection using mammography images. The framework combines advanced feature extraction techniques with ensemble classifiers to achieve high sensitivity and specificity, demonstrating significant improvements over existing methods on standard benchmark datasets.
Machine Learning Driven Islanding Detection using Random Forest and Scalogram
Hassan, M.M.M. et al.
4th Intl. Conf. on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
This paper proposes a machine learning-driven approach for islanding detection in distributed power systems using Random Forest classifiers and scalogram-based signal analysis. The method achieves high detection accuracy with minimal non-detection zones, offering a reliable solution for smart grid protection and distributed energy resource management.
A Futuristic Approach for Security in Cloud Datacenters using Hybrid Algorithm
Chatterjee, D., Islam, N., Ray, A., Barbhuyan, M.F.K., Hassan, M.M.M.
Engineering Proceedings (Eng. Proc.), Vol. 59, No. 1, p. 47
This paper proposes a hybrid security algorithm combining elliptic curve cryptography with a novel intrusion detection mechanism for cloud data centers. The approach demonstrates significant improvements in threat detection accuracy and computational efficiency compared to existing single-algorithm solutions, validated across multiple cloud deployment scenarios.
Energy Efficient Cyber-Physical Control of Renewable Microgrids Using Edge-AI Enabled IoT and Secure Blockchain Coordination
Dr. Mostaque Hassan, et al.
Scientific Reports (IF: 3.9)
This paper introduces an energy-efficient cyber-physical control framework for renewable microgrids, leveraging edge-AI enabled IoT devices and ensuring secure coordination through blockchain technology.
CottonNet-MHA: A Model for Detecting Cotton Disease Based on Deep Learning
Hassan, M.M.M. et al.
Frontiers in Plant Science (SCIE/Scopus, IF: 4.8)
CottonNet-MHA introduces a multi-head attention mechanism integrated into a convolutional neural network architecture for accurate detection of cotton plant diseases from leaf images. The model achieves state-of-the-art accuracy on benchmark datasets, offering a practical tool for precision agriculture and early disease intervention in cotton farming.
An Improved Hybrid Feature Selection and Classification Framework for Breast Cancer Detection Using Mammography Images
Hassan, M.M.M. et al.
Ain Shams Engineering Journal (SCIE/Scopus, IF: 5.9)
This paper presents an improved hybrid feature selection and classification framework for breast cancer detection using mammography images. The framework combines advanced feature extraction techniques with ensemble classifiers to achieve high sensitivity and specificity, demonstrating significant improvements over existing methods on standard benchmark datasets.
Detection And Recognition Method of Benign Skin Cancer in Dermoscopic Images using Hybrid Feature Fusion Model
Hassan, M.M.M. et al.
Cuestiones de Fisioterapia
This study proposes a hybrid feature fusion model for the detection and recognition of benign skin cancer in dermoscopic images. The model integrates multiple feature extraction pathways to improve classification accuracy, offering a reliable computer-aided diagnosis tool for dermatology applications.
A Study on Cryptographic Methods for Enhancing Cybersecurity
Hassan, M.M.M. et al.
International Journal of Mathematics and Statistics, Vol. 11, Issue 1, Art. 86
This paper provides a comprehensive study of modern cryptographic methods and their role in enhancing cybersecurity. It reviews symmetric and asymmetric encryption, hash functions, and quantum-resistant algorithms, analyzing their effectiveness against contemporary cyber threats and proposing a framework for selecting appropriate cryptographic solutions.
Academic Credentials, Awards & Experience
Education
Post-Doctoral Fellowship (Pursuing)
2023 – PresentEudoxia Research University, USA
Research focus: "Generation of Photorealistic Images using Generative Adversarial Networks (GANs)". Registered: 4th August 2023.
PhD — Computer Science
2019Gauhati University, Guwahati
Thesis: "Network Intrusion Detection System Using Genetic Algorithm and Fuzzy Logic". Specialization in AI, Network Security, and Fuzzy Logic Systems.
Master of Computer Application (MCA)
2006Allahabad Agricultural Institute – Deemed University, Allahabad
Advanced coursework in algorithms, data structures, software engineering, and computer applications.
Awards & Recognition
5 Patents — Indian & UK
Indian Patent Office & UK IPO · 2023–Present
2 Indian patents published, 1 under examination, 2 UK design patents filed — covering AI, cybersecurity, and GAN-based image generation.
Books Authored — 2025
RDG Scientific Publications · 2025
Authored 2 academic books: "AI for Advanced Manufacturing" (ISBN: 978-81-986993-2-9) and "ML & AI: Multidisciplinary Concepts" (ISBN: 978-81-989673-3-6).
SCIE/Scopus Publications
Frontiers in Plant Science · Ain Shams Engineering Journal · Scientific Reports · 2025–2026
Published in high-impact SCIE/Scopus-indexed journals: Frontiers in Plant Science (IF: 4.8), Ain Shams Engineering Journal (IF: 5.9), and Scientific Reports (IF: 3.9).
157+ Google Scholar Citations
Google Scholar · 2026
Cumulative academic citation count reflecting research impact across AI, network security, and health informatics domains.
Experience (18+ Years)
Director cum Founder
IndustryAlgoguido Technologies Pvt. Ltd.
Data Science · Web & Mobile Apps · Cloud Systems
Founder and Director of Algoguido Technologies, leading data science projects, web and mobile application development, and cloud solutions. Mentoring real-world projects and driving technology innovation.
Principal Data Scientist Instructor
IndustryupGrad Education Pvt. Ltd.
Kolkata Centre — Data Science
Trained and mentored learners for Data Analyst and Data Scientist roles through project-based, industry-aligned instruction. Designed modules on Python, ML, and Data Visualization. Served as Interview Panel Member for instructor recruitment.
Assistant Professor (Senior)
AcademicBrainware University, Kolkata
Dept. of Artificial Intelligence & Machine Learning
Taught AI and Machine Learning courses at undergraduate and postgraduate levels. Supervised student research projects and contributed to curriculum development in the AI & ML department.
Assistant Professor
AcademicAssam down town University
Faculty of Computer Technology, Guwahati
Delivered outcome-based, industry-relevant education integrating real-world expertise and emerging technology trends. Member of the Time Table Preparation Committee and Smart India Hackathon Mentor. (Appointed via iNurture Education Solutions Pvt. Ltd., Bengaluru)
Assistant Professor & Head of Department
AcademicScholars Institute of Technology & Management (SITM)
Dept. of Computer Science & Engineering, Guwahati
Head of Department (BCA). Member of the Time Table Preparation Committee and Smart India Hackathon Mentor. Online Examination In-charge during COVID-19 for BCA and BTech courses under Assam Science and Technology University.
Assistant Professor
AcademicLalit Chandra Bharali College
Dept. of Computer Science, Guwahati
Served for ~12 years. IGNOU Course Coordinator for MCA and BCA programs. Technical Team In-charge, NAAC Committee. Contributed significantly to academic administration and distance education coordination.
Assistant Professor
AcademicIIES College
Dept. of Computer Science & Engineering, Guwahati
Early academic career role teaching computer science and engineering subjects at undergraduate level.
Guest Faculty
AcademicIDOL, Gauhati University
Distance and Online Education
Served as Guest Faculty for 2 years, contributing to the academic development of students under the Institute of Distance and Open Learning (IDOL).
Courses & Expertise
Teaching undergraduate and postgraduate students across AI, data science, deep learning, network security, and cloud computing. Guided 500+ academic and industrial projects, including final semester projects for MCA and MSc IT courses (KKHSOU, IDOL, and IGNOU).
UG / PG
Artificial Intelligence & Machine Learning
AI concepts, search algorithms, knowledge representation, supervised/unsupervised learning, and intelligent agents.
PG
Data Science & Analytics
Data preprocessing, statistical modeling, visualization, Python-based ML pipelines, and capstone project delivery.
UG / PG
Network Security & Cybersecurity
Cryptography, firewall architectures, intrusion detection systems, ethical hacking, and cloud security fundamentals.
PG
Deep Learning & GANs
CNN, RNN, LSTM, Transformer architectures, Generative Adversarial Networks, and real-world image generation projects.
PG
Fuzzy Logic & Genetic Algorithms
Fuzzy set theory, inference engines, rule-based systems, genetic optimization, and applications in AI and control systems.
UG / PG
Cloud Computing & AWS
Cloud architecture, virtualization, AWS services (EC2, S3, CloudFront, Elastic Beanstalk), and cloud security deployment models.
Research & Technical Skills
A blend of deep theoretical knowledge and practical engineering skills developed over 18+ years of academic research, industrial training, and technology entrepreneurship.
News & Announcements
Latest updates on publications, conference presentations, and academic milestones.
Presented at ICDDA-2025, Assam Kaziranga University
Dr. Hassan co-presented "Exploring the Future of Connectivity: A Comprehensive Review of Wireless and Optical Communications" at the 2nd International Conference on Data Driven AI, held May 7–9, 2025.
New Book Chapter Published in Routledge Volume
Co-authored chapter on wireless and optical communications included in "Data-Driven AI: A Multidisciplinary Approach" (Routledge, ISBN: 9781041272366).
"AI for Advanced Manufacturing" Now Available
Co-authored 231-page academic book published by RDG Scientific Publications covering AI applications in advanced manufacturing and industrial automation (ISBN: 978-8198699329).
Indian Patent Application 202331046434 A Published
Patent application filed and officially published by the Indian Patent Office. Co-applicant status confirmed.
Cloud Security Paper Published in Engineering Proceedings
"A Futuristic Approach to Security in Cloud Data Centers Using a Hybrid Algorithm" published in Engineering Proceedings, Vol. 59, No. 1 (DOI: 10.3390/engproc2023059047).
Get In Touch
Open to research collaborations, academic invitations, industry partnerships, and speaking engagements.
Direct Contact
Algoguido Technologies Pvt. Ltd.
Director cum Founder
Home Address
AEC Road, Sundarbari, Jalukbari
Guwahati - 14, Kamrup Metro (Assam)
mostaq786@gmail.com
+91-8638526521