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Home » Faculty » Shafakhatullah Khan Mohammed
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Shafakhatullah Khan Mohammed

Assistant Professor

Qualification:
B. Com (Computers), M. Tech (CSE), (PhD – CSE)

Professional Exp.:
15 Years

Registration Number:
0389-210921-192038

Email Address:
shafakhatullah.khan@aceec.ac.in

Mobile Number:
919885467770

ABOUT:

I am a Computer Science & Engineering faculty with more than 10 years of experience at the University, College, and Corporate Institute levels. As being an academician only teaching is less fruitful without research. I got deep interest in research since my graduation time. My objective as a Faculty is to teach both theoretical and practical course content to the students in class/lab session, preparing instructions and planning of sessions, assessing student’s assignments and examinations. My commitment and approach towards teaching, programming and research have been rewarded with the highest applause in my past workplaces. I have remarkable programming skills, during my work period as Adjacent Faculty at Henan University of Economics and Law (HUEL) – RPC, Research Assistant at Charles University (Univerzita Karlova), completed the development of research project using java programming and implemented various Artificial Intelligent Agents for various games using AI techniques using Python. While working at University of Nizwa (Nizwa, Oman) as a lecturer, I have developed various web applications as well as portals using PHP for the University. Besides that, I have published a handsome number of articles in well-reputed journals.

EDUCATIONAL DETAILS:

  • Doctor of Philosophy Computer Science Engineering (PhD Candidate)
  • 10/2022 – still | Maulana Azad University, Jodhpur, Rajasthan, India.
  • Thesis Title: “ACBS: A Bounded Sub-Optimal Multi-Agent Pathfinding Solver For Search-Based Problems”.

Master of Technology in Computer Science and Engineering

  • 09/2009 to 01/2012 | GPA: 8/10 | Grade: A | Percentage: 78.62
  • Jawaharlal Nehru Technological University Hyderabad, India.
  • Thesis Title: “An Optimized Spatial Query Method for Nearest Neighbor-Candidate Identification in Time Variant Probabilistic Spatial Data”.

Master of Computer Applications

  • 06/2005 to 04/2008 | GPA: 8/10 | Grade: A | Percentage: 73.11
  • University PG College, Kakatiya University, India.
  • Thesis Title: “Multi-faced Workplace Grievance Reporting Mechanism”.

Bachelor of Commerce and Computers

  • 06/2002 to 053/2005 | GPA: 7/10 | Grade: B+ | Percentage:61.92
  • Acharya Nagarjuna University, India. 

PROFESSIONAL BACKGROUND:

  • Assistant Professor at ACE Engineering College, Hyderabad, Telangana, India. [From: 09/2024 – Till date]
  • Foreign Faculty (Adjacent Faculty) at Henan University of Economics and Law, Republic of China. [From: 05/2023 – To: 01/2024]
  • Assistant Professor at Marri Laxman Reddy Institute of Technology & Management, Hyderabad, Telangana, India. [From: 03/2022 – 07/2023]
  • Research Assistant at Univerzita Karlova – UK (Charles University), Prague, Czech Republic. [From: 03/2020 – To: 09/2021]
  • Lecturer and Research Assistant at University of Nizwa – UON, Nizwa, Sultanate of Oman. [From: 02/2013 – To: 05/2019]
  • Information Technology Training Officer at APTECH – Qatar, Ad Doha, Qatar. [From: 01/2012 – To: 01/2013]
  • Assistant Professor at Aurora’s Engineering College, Hyderabad, India. [From: 02/2008 – To: 01/2012]

SUBJECTS TAUGHT:

  • Java Programming (Full Stack)
  • Object Oriented Programming through (Java, C#, PHP, C++)
  • Operating Systems
  • Artificial Intelligence
  • Automated Planning and Scheduling
  • UI Design Flutter
  • Web Technologies
  • Internet Technology
  • Fundamentals of Information Systems
  • Programming for Problem Solving
  • Data Warehousing and Mining
  • Multimedia Application Development
  • Developing Java Applications using Servlets and JSP
  • Fundamentals of Linux Operating System 
  • Python Programming
  • Computer Networks
  • Unix Network Programming

CORE RESEARCH DOMAINS:

  • Artificial Intelligence
  • BigData
  • Wireless Adhoc Networks
  • Network Security
  • Distributed Computing
  • Quantum Security

RESEARCH FOCUS:

(PhD Focus): “ACBS: A Bounded Sub-Optimal Multi-Agent Pathfinding Solver For Search-Based Problems”. The problem of Multi-Agent Pathfinding (MAPF) is an instance of multi-agent planning and consists in the computation of collision-free paths for a group of agents from their location to an assigned target. It is an optimization problem, since the aim is to find those paths that optimize a given objective function, usually defined as the number of time steps until all agents reach their goal cells. MAPF is the multi-agent generalization of the path finding problem, and it is closely related to the shortest path problem in the context of graph theory.

JOURNALS AND CONFERENCES:

  • “Quantum Cryptography: The New Frontier in Cyber Defense” [Manuscript submitted for publication -Under Review Process], Shafakhatullah Khan Mohammed, Venkat Reddy Medikonda, Pathi Haritha, and P Chiranjeevi. (2025).
  • “Robust Clustering Algorithm (RCA): An Elegant Approach to Create Node Clusters without Dead Nodes” Md. Shafakhatullah Khan, Shival Dubey, 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), 2021, pp. 460-466, DOI: https://doi.org/10.1109/ICCCA52192.2021.9666287.
  • “An Optimized Method for Concealing Data using Audio Steganography”, Md. Shafakhatullah Khan, V Vijaya Bhasker, V Shiva Nagaraju, International Journal of Computer Applications 33 (4), 25-30, 2011. DOI: 10.5120/4009-5687.
  • “Clustering of Wireless Ad Hoc Networks: An Efficient Probabilistic Technique”, Md. Shafakhatullah Khan, Mourad Mohamed Henchiri, International Journal of Engineering Research and Technology 2(12), 1234-1238, 2013. DOI: https://doi.org/10.5281/zenodo.5948681.
  • “Big Data Analytics Techniques to Obtain Valuable Knowledge”, Mohammed Shafakhatullah Khan, Mohammad Abu Kausar, Shaik Shah Nawaz, Indian Journal of Science and Technology, 11(14), 1-14, 2018. DOI: 10.17485/ijst/2018/v11i14/120977.
  • “Just Enough Administration (JEA) VIA SYSINTERNALS MICROSOFT SECURED INFRASTRUCTURE”, Mohammed Shafakhatullah Khan, Mourad M.H Henchiri, Second International Conference On Recent Innovations in Engineering and Technology (ICRIEAT-2017), Global Academic Society 17(2), 9- 12, 2018. DOI: https://doi.org/10.5281/zenodo.5948743.
  • “Cognitive Radio for Dedicated Traces Detecting Human Flesh Detection”, Mourad Mohammed Henchiri, Md. Shafakhatullah Khan, International Journal of Computer Science Engineering 4 (5), 244-249, 2015. DOI: https://doi.org/10.5281/zenodo.5948810.
  • “An Effective Approach of Data Security for Distributed Shared Memory Multiprocessors”, Md. Shafakhatullah Khan, Mourad Mohamed Henchiri, International Journal of Computer Science and Information Technologies 5 (3), 4104 – 4100, 2014. DOI: https://doi.org/10.5281/zenodo.5948838.
  • “An Optimized Spatial Query Method for Nearest Neighbor-Candidate Identification in Time Variant Probabilistic Spatial Data”, Md. Shafakhatullah Khan, A. Chandrashekar Sharma, Shaik Shah Nawaz, CiiT International Journal of Data Mining Knowledge Engineering 3 (13), 809-815, 2011. DOI: https://doi.org/10.5281/zenodo.5948862.
  • “Automatic Privacy Query Updation for Moving Objects”, Md. Shafakhatullah Khan, Shaik Shah Nawaz, Journal of Current Computer Science and Technology Vol 1 (6), 350-356, 2011. DOI: https://doi.org/10.5281/zenodo.5948919.
  • “A Novel Approach to Allow Process into Critical Section with no delay-time”, Pradosh Chandra Patnaik, Md. Shafakhatullah Khan, Vsv. Mallikharjuna Rao, International Journal of Computer Science & Technology 2 (4), 35-39, 2011. DOI: https://doi.org/10.5281/zenodo.5948897.

PAPERS REVIEWED:

  • The Analysis of Body Emotion Recognition in New Media Art Exhibition Space based Artificial Intelligence. IEEE Access [Apr 5, 2025]
  • STFDGCN: Spatial-Temporal Fusion Time Delayed Simulation Graph Convolution Network for Traffic Flow Forecasting. IEEE Access [Apr 5, 2025]
  • Privacy for Process Mining: A Systematic Literature Review. IEEE Access [Apr 5, 2025]
  • Exploring the Potential of Offline LLMs in Data Science: A Study on Code Generation for Data Analysis. IEEE Access [Mar 20, 2025, Jan 15, 2025]
  • Efficient Exploratory Searches with an Incremental R-tree Under Oscillating Workloads. IEEE Access [Feb 5, 2025]
  • Design and analysis of an Algorithm using Lattice based Cryptography for 5G Network in Device to Device (D2D) Communication against Quantum Attacks. IEEE Access [Oct 14, 2024, Jun 19, 2024]
  • Explainable AI-based Multi-Hybrid Deep Learning Fusion Ensemble Intrusion Detection for Securing SDN. IEEE Access [Sep 20, 2024]
  • Deep Learning-Based Brain Tumor Detection in Privacy-Preserving Smart Health Care Systems. IEEE Access [Sep 2, 2024 | Aug 4, 2024]
  • AICyber-Chain: Combining AI and Blockchain for Improved Cybersecurity. IEEE Access [Aug 25, 2024]
  • Behavioral Study of Bayesian Neural Networks in Surrogate Model Assisted Evolutionary Algorithms. IEEE Access [Jun 20, 2024]
  • Smart refrigerator recipe recommendation based on multi-model fusion recognition technology. IEEE Access [Jun 1, 2024]
  • Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing False Negative and SHAP for Explainability. IEEE Access [May 31, 2024]
  • Entanglement Swapping Using Hyperentangled Pairs of Two-Level Neutral Atoms. IET Quantum Communication [May 27, 2024]
  • Qualitative spatial reasoning with cardinal direction relations based on 3D-CRN model. IEEE Access [May 22, 2024]
  • Deep neural network-based prediction of tsunami wave attenuation by mangrove forests. MethodsX [Apr 7, 2024]
  • Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Compliments IEEE Access [Sep 27, 2023]

CONFERENCE ROLES

  • Reviewer: at International Conference on Intelligent Systems and Embedded Design (ISED2023)
  • Economic Viability and Cost-Benefit Analysis of LD-WPT Technology in Solar Panels. Sep 24, 2023
  • Normalization and Feature Selection Using Ensemble Methods for Crop Yeild Prediction. Sep 24, 2023
  • Advances in Facial Emotion Recognition: Leveraging Machine Learning for Human Emotion Analysis. Sep 23, 2023

CERTIFICATIONS

  • International Computer Driving License (ICDL) Syllabus 5.0, LicenseNo#GCC110361101.
  • APTECH worldwide certified trainer for the skill of JAVA, C#.NET, XML, and SQL SERVER 2005.
  • IELTS Academics Band 6.5 (Nov2019)

PARTICIPATIONS

  • Participated in the Training session on Assessments using Weave Online, organized by the University of Nizwa.
  • Participated in the 1st National Conference on Economics, Business and Information Systems, organized by the university.
  • Participated in the coding competition TGMC conducted by IBM(2008)

MEMBERSHIPS:

SCIENTIFICMEMBERSHIPS

  • International Association of Engineers(IAENG)–MembershipNo#124990
  • Computer Science Teachers Association (CSTA).
  • International Technology and Engineering Educators Association (ITEEA).
  • International Computer Science and Engineering Society (ICSES)–MembershipNo#36659
  • International Society on Multiple Criteria Decision Making (MCDM)

BOARDMEMBER

  • International Journal of Computer Trends and Technology Board member.

REVIEWER

  • IEEE ACCESS(Active),
  • MethodsX–Elsevier(Active),
  •  IET Quantum Communication–Wiley(Active)
  • Informing SciJ(Informing Science Institution)