Zeeshan Ali - RankMe

34 papers C 2Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A trustworthy and patient privacy-conscious framework for early diabetes prediction using Deep Residual Networks and proximity-based data. Biomed. Signal Process. Control. Ifra Shaheen, Nadeem Javaid, Zeeshan Ali, Imran Ahmed, Farrukh Aslam Khan, Dragan Pamucar
2026	J	`jnl`	An AI based framework using Aquila-optimized capsule network for radar object detection. Complex Intell. Syst. Aymin Javed, Nadeem Javaid, Yousra Asim, Zeeshan Ali, Badr Alsamani, Abdul Khader Jilani Saudagar
2025	J	`jnl`	A novel deep gated network model for explainable diabetes mellitus prediction at early stages based on trustworthy data. Knowl. Based Syst. Hira Khan, Nadeem Javaid, Tariq Bashir, Zeeshan Ali, Farrukh Aslam Khan, Dragan Pamucar
2025	J	`jnl`	Advancing solutions of integer and fractional order system of PDE's using a modified transform method. Commun. Nonlinear Sci. Numer. Simul. Abd Ullah, Aman Ullah, Walid Emam, Zeeshan Ali, Dragan Pamucar, Subhan Ullah
2025	C	`conf`	An Intelligent Intrusion Detection Framework for IoT Using Active Learning and Metaheuristic Optimization. WINCOM Aymin Javed, Nadeem Javaid, Zeeshan Ali, Nidal Nasser, Asmaa Ali
2025	C	`conf`	OASIS: Optimized Active Sampling for Intrusion Detection in IoT Systems. WINCOM Aymin Javed, Nadeem Javaid, Zeeshan Ali, Nidal Nasser
2025	J	`jnl`	SDN-Assisted Spatial Encoded Sequence Enabled BLSTM-Based Zero-Trust Anomaly Detection Model for Consumer Electronics of Smart Cities. IEEE Trans. Consumer Electron. Zabeeh Ullah, Fahim Arif, Zeeshan Ali, Qazi Mazhar ul Haq, Muhammad Babar, Muhammad Islam, Azeem Irshad, Nazik Alturki, Ali Kashif Bashir
2025	J	`jnl`	Supplier selection based on group decision making using q-rung orthopair fuzzy Aczel Alsina Hamy mean operators. Int. J. Knowl. Based Intell. Eng. Syst. Kifayat Ullah, Abrar Hussain, Sajid Latif, Tahir Mahmood, Zeeshan Ali
2023	J	`jnl`	A Knowledge-Based System for the Classification of Cancer Diseases in Human Body Using Hybrid Approaches Based on Bipolar Complex Fuzzy Information. IEEE Access Tahir Mahmood, Ubaid ur Rehman, Walid Emam, Yusra A. Tashkandy, Zeeshan Ali, Shi Yin
2023	J	`jnl`	Analysis and application of Aczel-Alsina aggregation operators based on bipolar complex fuzzy information in multiple attribute decision making. Inf. Sci. Tahir Mahmood, Ubaid ur Rehman, Zeeshan Ali
2023	J	`jnl`	Analysis of TOPSIS techniques based on bipolar complex fuzzy N-soft setting and their applications in decision-making problems. CAAI Trans. Intell. Technol. Tahir Mahmood, Ubaid ur Rehman, Zeeshan Ali, Izatmand Haleemzai
2023	J	`jnl`	Decision-Making by Using TOPSIS Techniques in the Framework of Bipolar Complex Intuitionistic Fuzzy N-Soft Sets. IEEE Access Tahir Mahmood, Ubaid ur Rehman, Sana Shahab, Zeeshan Ali, Mohd Anjum
2023	J	`jnl`	Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators. PeerJ Comput. Sci. Tahir Mahmood, Ubaid ur Rehman, Xindong Peng, Zeeshan Ali
2023	J	`jnl`	The Generalized Similarity Measures Based on Complex Interval-Valued Hesitant Fuzzy Sets and Their Applications in Pattern Recognition and Medical Diagnosis. IEEE Access Haojun Fang, Ubaid ur Rehman, Tahir Mahmood, Zeeshan Ali, Yun Jin
2022	J	`jnl`	An Advanced Study on the Bonferroni Mean Operators for Managing Cubic Intuitionistic Complex Fuzzy Soft Settings and Their Applications in Decision Making. IEEE Access Tahir Mahmood, Zeeshan Ali, Ubaid ur Rehman, Muhammad Aslam
2022	J	`jnl`	Analysis and Applications of Bonferroni Mean Operators and TOPSIS Method in Complete Cubic Intuitionistic Complex Fuzzy Information Systems. Symmetry Tahir Mahmood, Zeeshan Ali, Samruam Baupradist, Ronnason Chinram
2022	J	`jnl`	Complex Intuitionistic Fuzzy Aczel-Alsina Aggregation Operators and Their Application in Multi-Attribute Decision-Making. Symmetry Tahir Mahmood, Zeeshan Ali, Samruam Baupradist, Ronnason Chinram
2022	J	`jnl`	Confidence levels under complex q-rung orthopair fuzzy aggregation operators and their applications. J. Intell. Fuzzy Syst. Zeeshan Ali, Tahir Mahmood, Kifayat Ullah, Ronnason Chinram
2022	J	`jnl`	Decision-making strategy based on Archimedean Bonferroni mean operators under complex Pythagorean fuzzy information. Comput. Appl. Math. Harish Garg, Yong Deng, Zeeshan Ali, Tahir Mahmood
2022	J	`jnl`	Identification and Prioritization of DevOps Success Factors Using Bipolar Complex Fuzzy Setting With Frank Aggregation Operators and Analytical Hierarchy Process. IEEE Access Ubaid ur Rehman, Tahir Mahmood, Majed Albaity, Khizar Hayat, Zeeshan Ali
2022	J	`jnl`	Methods for multi-attribute decision making, pattern recognition and clustering based on T-spherical fuzzy information measures. J. Intell. Fuzzy Syst. Kifayat Ullah, Zeeshan Ali, Tahir Mahmood, Harish Garg, Ronnason Chinram
2022	J	`jnl`	Neutrality aggregation operators based on complex q-rung orthopair fuzzy sets and their applications in multiattribute decision-making problems. Int. J. Intell. Syst. Harish Garg, Amir H. Gandomi, Zeeshan Ali, Tahir Mahmood
2022	J	`jnl`	TOPSIS Method Based on Hamacher Choquet-Integral Aggregation Operators for Atanassov-Intuitionistic Fuzzy Sets and Their Applications in Decision-Making. Axioms Tahir Mahmood, Zeeshan Ali, Samruam Baupradist, Ronnason Chinram
2021	J	`jnl`	Algorithms for complex interval-valued q-rung orthopair fuzzy sets in decision making based on aggregation operators, AHP, and TOPSIS. Expert Syst. J. Knowl. Eng. Harish Garg, Zeeshan Ali, Tahir Mahmood
2021	J	`jnl`	Analyzing and controlling computer security threats based on complex q-rung orthopair fuzzy heronian mean operators. J. Intell. Fuzzy Syst. Thammarat Panityakul, Tahir Mahmood, Zeeshan Ali, Muhammad Aslam
2021	J	`jnl`	CHFS: Complex hesitant fuzzy sets-their applications to decision making with different and innovative distance measures. CAAI Trans. Intell. Technol. Harish Garg, Tahir Mahmood, Ubaid ur Rehman, Zeeshan Ali
2021	J	`jnl`	Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems. IEEE Access Izatmand, Tahir Mahmood, Zeeshan Ali, Muhammad Aslam, Ronnason Chinram
2021	J	`jnl`	Hybrid vector similarity measures based on complex hesitant fuzzy sets and their applications to pattern recognition and medical diagnosis. J. Intell. Fuzzy Syst. Tahir Mahmood, Ubaid ur Rehman, Zeeshan Ali, Tariq Mahmood
2021	J	`jnl`	Interval Valued T-Spherical Fuzzy Information Aggregation Based on Dombi t-Norm and Dombi t-Conorm for Multi-Attribute Decision Making Problems. Symmetry Kifayat Ullah, Harish Garg, Zunaira Gul, Tahir Mahmood, Qaisar Khan, Zeeshan Ali
2021	J	`jnl`	Investigating the Short-Circuit Problem Using the Planarity Index of Complex q-Rung Orthopair Fuzzy Planar Graphs. Complex. Abrar Hussain, Ahmed Alsanad, Kifayat Ullah, Zeeshan Ali, Muhammad Kamran Jamil, Mogeeb A. A. Mosleh
2021	J	`jnl`	Linear Diophantine Uncertain Linguistic Power Einstein Aggregation Operators and Their Applications to Multiattribute Decision Making. Complex. Tahir Mahmood, Izatmand, Zeeshan Ali, Kifayat Ullah, Qaisar Khan, Ahmed Alsanad, Mogeeb A. A. Mosleh
2021	J	`jnl`	Multi-criteria decision-making algorithm based on aggregation operators under the complex interval-valued q-rung orthopair uncertain linguistic information. J. Intell. Fuzzy Syst. Harish Garg, Zeeshan Ali, Zaoli Yang, Tahir Mahmood, Sultan Aljahdali
2021	J	`jnl`	New Logarithmic Operational Laws-Based Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Application in Decision-Making Process. Complex. Harish Garg, Zeeshan Ali, Tahir Mahmood, Sultan Aljahdali, Habib Shah
2020	J	`jnl`	Correlation coefficients for T-spherical fuzzy sets and their applications in clustering and multi-attribute decision making. Soft Comput. Kifayat Ullah, Harish Garg, Tahir Mahmood, Naeem Jan, Zeeshan Ali

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.