Dr. Akheel Mohammed is a distinguished academician and researcher with over 25 years of experience in higher education, specializing in cloud computing, artificial intelligence, data security, privacy-preserving technologies, and AI/ML applications. He currently serves as a Professor at Dr. VRK Women’s College of Engineering & Technology, Hyderabad, where he contributes to curriculum development, research supervision, academic leadership, and industry-academia collaboration.

He holds a Ph.D. in Cloud Computing & AI from JNTUH, Hyderabad, along with an M.Tech in Computer Science and a B.Tech in Computer Science. His academic journey reflects a sustained commitment to advanced computing technologies and research-driven education.

Research & Scholarly Contributions

Dr. Mohammed's research focuses particularly on secure cloud computing, public auditing, cryptographic key management, privacy preservation, malicious third-party auditor detection, artificial intelligence, and secure data storage. His research portfolio includes peer-reviewed journal publications, conference papers, edited academic volumes, and ongoing research in deep learning and AI-cloud integration.

His notable publications include research on:

• AI-cloud integration and algorithmic solutions
• Robust key-reveal mechanisms for secure cloud storage
• Public auditing of cloud-storage data
• Cuckoo AES key generation and bilinear pairing
• Privacy-preserving architectures in cloud computing
• PAS-Cloud privacy-preserving auditing strategies
• CNN-SVM approaches for lung disease classification
• Lattice-based certificate-less management for malicious TPA detection

He has also contributed to research on deep learning, computer vision, cybersecurity, and AI-based applications, demonstrating an interdisciplinary approach to contemporary computing challenges.

Academic Leadership & Student Mentorship

As a Professor and former Head of Department, Dr. Mohammed has played an active role in curriculum redesign, laboratory development, student mentoring, research supervision, and innovative teaching. He has mentored 50+ graduate students, with student research contributing to conference publications, and has guided projects in areas such as IoT, machine learning, cybersecurity, and V2X technologies.

He has introduced AI/ML and cloud-computing courses and incorporated tools such as Python and Power BI into teaching and learning. His initiatives have contributed to improved student engagement and strengthened research-oriented academic culture.

Industry-Academia Collaboration

Dr. Mohammed has demonstrated a strong commitment to connecting academic learning with industry practices. He has established academic-industry partnerships and MoUs involving organizations such as Infosys Springboard, EMATIX Solutions, and Brain Vision, while organizing industrial exposure initiatives involving IBM Hyderabad and T-Hub.

These activities have helped provide students with practical exposure to emerging technologies and professional environments.

Publications, Books & Conferences

Dr. Mohammed has authored and co-authored research papers published in journals and conference proceedings, including publications indexed in recognized scholarly databases. His recent research includes work accepted for conferences in 2024–2025, covering secure auditing, encryption, AI-based detection, and healthcare-oriented machine learning.

He has also served as a co-editor of the Multidisciplinary Research in Arts, Science & Commerce edited volumes and participates in scholarly peer-review activities, including serving as a reviewer for the Journal of Emerging Technologies in Innovative Research (JETIR).

Patents & Innovation

His innovation portfolio includes a patent on “Blockchain-Powered Zero-Knowledge Proof Authentication for Secure Computing,” reflecting his interest in applying advanced cryptographic and blockchain technologies to contemporary cybersecurity challenges.

Certifications & Professional Development

Dr. Mohammed has undertaken professional development in Microsoft Power Platform, Dynamics 365, MCSA, Sun Solaris system and network administration, blockchain technology, research methodology, and AI-based academic research tools. He has also organized and participated in workshops, STTPs, FDPs, webinars, and technology-oriented academic programs.

Key Areas of Expertise

• Artificial Intelligence & Machine Learning
• Cloud Computing & Cloud Security
• Data Privacy and Secure Data Storage
• Cryptography and Blockchain
• Public Auditing & Security Mechanisms
• Deep Learning and Computer Vision
• IoT and V2X Technologies
• Curriculum Development
• Research Supervision & Student Mentoring
• Industry-Academia Collaboration

Eligibility for Most Promising Researcher Award 

Dr. Akheel Mohammed demonstrates strong credentials for the Most Promising Researcher Award in Scientific Laurels. His eligibility is supported by his 25+ years of academic experience, Ph.D.-level specialization in Cloud Computing and AI, sustained research contributions, peer-reviewed publications, conference participation, patent contribution, student research mentorship, academic leadership, professional certifications, and industry-academia collaborations.

His research addressing cloud security, privacy preservation, artificial intelligence, cryptography, blockchain, and secure computing reflects contemporary and socially relevant technological challenges. His combination of research productivity, academic leadership, innovation, mentorship, and interdisciplinary engagement makes him a suitable candidate for recognition as a Most Promising Researcher.