DEVI Thirupathi | 5G Networks | Women Researcher Award

Prof. DEVI Thirupathi | 5G Networks | Women Researcher Award

Prof. DEVI Thirupathi, PSG INSTITUTE OF MANAGEMENT, India.

Prof. Devi Thirupathi is an esteemed faculty member at PSG Institute of Management in India, where she specializes in management education and research. With a strong academic background and extensive industry experience, she focuses on areas such as organizational behavior, strategic management, and entrepreneurship. Prof. Thirupathi is dedicated to fostering innovative thinking and leadership skills among her students, contributing to their professional growth. Her research has been published in several reputable journals, reflecting her commitment to advancing knowledge in the field of management.

Summary:

Summary: Prof. Devi Thirupathi exemplifies the qualities of a dedicated researcher and educator. Her strong academic background, extensive industry experience, and focus on nurturing student leadership and innovation make her a significant contributor to the field of management. Her published research reflects a commitment to advancing knowledge, underscoring her suitability for the Research for Women Researcher Award.

 

Professional Profiles:

🎓 Education :

Dr. Devi earned her B.Sc. with a Gold Medal from PSGRK College for Women, followed by an MCA from PSG College of Technology, where she was an I Rank Holder. She further advanced her studies with an M.Phil. in Computer Science and a Ph.D. from the University of Warwick, UK, under a Commonwealth Scholarship.

🏢 Experience:

Prof. Dr. T. Devi brings over 36 years of experience in academia and industry, having served as Professor and Head of the Department of Computer Applications at Bharathiar University. She has held multiple leadership roles, including Director of the Center for Research and Evaluation and Dean of the Faculty of Research. Her early career includes positions as a Software Engineer and Systems Analyst, allowing her to bridge theoretical knowledge with practical application.

🛠️Skills:

Dr. Devi is also skilled in academic administration, having served as Dean, Director, and Head of multiple departments, which showcases her leadership capabilities and strategic planning skills.

Research Focus :

Her research spans diverse areas, including Database Management Systems, Heterogeneous Databases, Integrated Information Modeling, Industry 4.0 in Education, and Artificial Intelligence. Dr. Devi has supervised numerous M.Phil. and Ph.D. candidates, with 22 Ph.D. completions to her credit and 180 published research papers.

Conclusion:

Conclusions: In conclusion, Prof. Devi Thirupathi’s profile aligns well with the criteria for the Research for Women Researcher Award. Her strengths in research and education, combined with her dedication to student development, position her as a role model in academia. By addressing areas for improvement, she can further enhance her impact and legacy as a leader in management research. This award would not only recognize her achievements but also encourage her continued contributions to the field.

Publications :

  1. KP Srinivasan, T Devi (2014). Software metrics validation methodologies in software engineering. International Journal of Software Engineering & Applications, 5(6), 87-66.
  2. V Bala Sundar, T Devi, N Saravanan (2012). Development of a data clustering algorithm for predicting heart.
  3. IJ Maria, T Devi, D Ravi (2020). Machine learning algorithms for diagnosis of leukemia. International Journal of Science and Technology Research, 9(1), 267-270.
  4. S Yeruva, T Devi, YS Reddy (2016). Selection of influential spreaders in complex networks using Pareto Shell decomposition. Physica A: Statistical Mechanics and its Applications, 452, 133-144.
  5. S Balan, T Devi (2012). Design and development of an algorithm for image clustering in textile image retrieval using color descriptors. International Journal of Computer Science, Engineering and Applications, 2(3).
  6. P Ponmuthuramalingam, T Devi (2010). Effective term based text clustering algorithms. International Journal on Computer Science and Engineering, 2(5), 1665-1673.
  7. R Ramkumar, A Tamilarasi, T Devi (2011). Multi criteria job shop schedule using fuzzy logic control for multiple machines multiple jobs. International Journal of Computer Theory and Engineering, 3(2), 282.
  8. R Rajeswari, T Devi, S Shalini (2022). Dysarthric speech recognition using variational mode decomposition and convolutional neural networks. Wireless Personal Communications, 122(1), 293-307.
  9. P Kaliraj, T Devi (2021). Innovating with Augmented Reality. CRC Press, Auerbach Publications, Taylor and Francis.
  10. KP Srinivasan, T Devi (2014). A comprehensive review and analysis on object-oriented software metrics in software measurement. International Journal on Computer Science and Engineering, 6(7), 247.
  11. KP Srinivasan, T Devi (2014). A complete and comprehensive metrics suite for object-oriented design quality assessment. International Journal of Software Engineering and Its Applications, 8(2).
  12. R Balu, T Devi (2012). Design and development of automatic appendicitis detection system using sonographic image mining.
  13. SK Jayanthi, T Devi (2006). Intuitionistic Fuzzy Approach to Enhance Text Documents. 3rd IEEE International Conference on Intelligence Systems.
  14. P Kaliraj, T Devi (2021). Artificial intelligence theory, models, and applications. CRC Press.
  15. V Thiagarasu, T Devi (2009). Multi-agent Co-ordination in Project Scheduling: Priority Rules based Resource Allocation. International Journal of Recent Trends in Engineering (Computer Science), 1.
  16. R Vishnupriya, T Devi (2014). Speech recognition tools for mobile phone – a comparative study. 2014 International Conference on Intelligent Computing Applications, 426-430.
  17. P Kaliraj, T Devi (2022). Big Data Applications in Industry 4.0. CRC Press.
  18. J Sumitha, T Devi (2016). Breast Cancer Diagnosis in Analysis of BRCA Gene Using Machine Learning Algorithms. Pakistan Journal of Biotechnology, 13(4), 231-235.
  19. N Preethi, T Devi (2012). Case and relation (CARE) based page rank algorithm for semantic web search engines. International Journal of Computer Science Issues (IJCSI), 9(3), 329.
  20. ASM Qaed, T Devi (2012). Ant colony optimization based delay and energy conscious routing protocol for mobile Adhoc networks. International Journal of Computer Applications, 41(11), 1-5.

                                                                                                                                                                                                                                                                                                                                                                                                                 

Shilpa Ghode| systems| Best Researcher Award

Prof.Shilpa Ghode| systems| Best Researcher Award

Prof, Shilpa Ghode,Indian Institute of Information Technology, Nagpur, India

Prof. Shilpa Ghode is a faculty member at the Indian Institute of Information Technology (IIIT), Nagpur, India. With a strong academic background and expertise in her field, she contributes significantly to the institution’s teaching and research activities. Prof. Ghode is involved in various academic initiatives, promoting excellence in information technology and fostering innovation among students. She plays a vital role in shaping the next generation of IT professionals and researchers.

Summary:

Prof. Shilpa D. Ghode is a highly qualified candidate for the Research for Best Researcher Award, possessing extensive teaching experience, a solid academic background, and a diverse technical skill set. Her leadership in various educational roles and commitment to student success are commendable. However, she could benefit from focusing on increasing her research output, enhancing networking and collaboration, improving grant writing skills, and staying current with technological advancements.

Professional Profiles:

Scopus

🎓 Education :

Ph.D.: Pursuing at IIIT, Nagpur,M.Tech.: VNIT, Nagpur (2011) – CGPA: 7.36,B.E.: Nagpur University (2003) – 62.56% (First Division),Diploma: Maharashtra State Board of Technical Education (2000) – 66.63% (First Division),SSC: Maharashtra Board (1997) – 61.06% (First Division)

🏢 Experience:

Total Teaching Experience: 18 Years,Assistant Professor, G.H. Raisoni College of Engineering (03/11/2023 – Present),Assistant Professor (UGC approved), Kavikulguru Institute of Technology and Science, Ramtek (31/06/2006 – 02/11/2022),Lecturer, Yashvantrao Chavan College of Engineering (04/07/2005 – 30/04/2006)

🛠️Skills:

Programming Languages: Python, JAVA, PL/SQL, C, C++,Operating Systems: Windows 10, 2000, XP, Ubuntu,Database: ORACLE,Certifications: Salesforce Certification

Research Focus :

My research is focused on deep reinforcement learning, energy management systems for hybrid electric vehicles, IoT-based home automation, and high utility pattern mining algorithms.

Conclusion:

In conclusion, Prof. Shilpa D. Ghode is well-suited for the Research for Best Researcher Award due to her dedication to education and her robust skill set. By addressing areas for improvement, she can further enhance her contributions to the field and maximize her impact on both students and research initiatives at the Indian Institute of Information Technology, Nagpur.

Publications :

  • Publication Title: Deep Dyna Reinforcement Learning Based Energy Management System for Solar Operated Hybrid Electric Vehicle Using Load Scheduling Technique
    Authors: Ghode, S.D., Digalwar, M.
    Journal: Journal of Energy Storage
    Year: 2024
    Volume: 102
    Article Number: 114106
    Citations: 0

 

  • Publication Title: A Novel Model Based Energy Management Strategy for Plug-in Hybrid Electric Vehicles Using Deep Reinforcement Learning
    Authors: Ghode, S., Digalwar, M.
    Conference: ACM International Conference Proceeding Series
    Year: 2023
    Pages: 289–293
    Citations: 0

 

  • Publication Title: A Novel Approach to Design Home Automation Using IoT Applications
    Authors: Dubey, P., Chourasia, H., Ghode, S.
    Conference: 2023 International Conference on Advancement in Computation and Computer Technologies (InCACCT 2023)
    Year: 2023
    Pages: 801–806
    Citations: 5

 

                                                                                                                                                                                                                                                                                                                                                                                                                 

Mr. Olusegun Ojewola | Fluid mechanics | Best Researcher Award

Mr. Olusegun Ojewola | Fluid mechanics| Best Researcher Award

Mr. Olusegun Ojewola ,Ladoke Akintola University of technology, Ogbomoso, Oyo State, Nigeria, Nigeria

Mr. Olusegun Ojewola is an accomplished researcher in applied mathematics, specializing in fluid mechanics and heat and mass transfer mechanisms. Currently a Principal at Westminster College and an Assistant Lecturer at Pefti Film Institute, he has extensive experience in teaching and academic administration. He holds a Master’s degree in Applied Mathematics and is pursuing a Ph.D. in the same field. Mr. Ojewola has authored numerous research papers and has been recognized with several awards for his academic excellence and leadership. His contributions to mathematical research and education highlight his dedication and expertise in his field.

Summary:

Mr. Olusegun Ojewola’s academic and professional journey demonstrates his substantial contributions to the field of applied mathematics, particularly in fluid mechanics and heat and mass transfer mechanisms. His research prowess is highlighted by his extensive use of numerical methods for theoretical investigations, his numerous publications in reputable journals, and his participation in various mathematical conferences. His current roles as Principal/Administrator at Westminster College and Assistant Lecturer at Pefti Film Institute, along with his past teaching experience, reflect his dedication to education and his ability to manage and contribute to academic institutions.

 

Professional Profiles:

Google scholar

ORCID

Education :

Mr. Ojewola’s academic credentials are impressive, with a Bachelor’s and Master’s degree in Applied Mathematics from Ladoke Akintola University of Technology, where he focused on mathematical modeling of heat and mass transfer. He is currently pursuing a Ph.D. in Applied Mathematics and a Postgraduate Diploma in Mathematics Education, further enhancing his expertise and knowledge base.

Professional Contributions:

Mr. Ojewola has held several teaching and administrative positions. Notably, he is the Principal/Administrator at Westminster College and an Assistant Lecturer at Pefti Film Institute. His previous roles include teaching Physics and Further Mathematics at various schools and serving as a Cambridge Physics Instructor. His responsibilities have ranged from preparing lectures and exams to supervising students’ research projects, showcasing his multifaceted capabilities in academia.

Research Contributions

Mr. Ojewola has made significant strides in research, focusing on fluid mechanics, heat and mass transfer, and numerical simulations. His published works include studies on hybrid nanofluid flow and computational applications in fluid dynamics. He has also reviewed several journals and participated in numerous international conferences, reflecting his active engagement with the global research community.

Awards and Honors:

Mr. Ojewola has received several awards, including the Best Student of the Year award at Iresaadu High School, the Best Corper of the Year award in Jigawa State, and the Best CDS President award from NAFDAC and NDLEA Jigawa State Commands. These accolades attest to his excellence and dedication in both academic and extracurricular activities.

Conclusion:

Based on his extensive educational background, significant professional experience, active research contributions, numerous awards, and strong administrative capabilities, Mr. Olusegun Ojewola is highly suitable for the Best Researcher Award. His dedication to applied mathematics, his ability to conduct impactful research, and his commitment to education and administration make him a deserving candidate for this recognition. His contributions to both the academic and research communities reflect his excellence and innovation in the field of applied mathematics.

Publications :

  • Status of climate-smart agriculture in southeast Nigeria
    • Authors: RU Onyeneke, CO Igberi, CO Uwadoka, JO Aligbe
    • Journal: GeoJournal
    • Citations: 121
    • Year: 2018
  • Nonlinear solar thermal radiation efficiency and energy optimization for magnetized hybrid Prandtl–Eyring nanoliquid in aircraft
    • Authors: SO Salawu, AM Obalalu, MD Shamshuddin
    • Journal: Arabian Journal for Science and Engineering
    • Citations: 93
    • Year: 2023
  • Nonlinear thermal radiation and entropy generation on steady flow of magneto-micropolar fluid passing a stretchable sheet with variable properties
    • Authors: EO Fatunmbi, A Adeniyan
    • Journal: Results in Engineering
    • Citations: 90
    • Year: 2020
  • Nonlinear radiative Eyring-Powell nanofluid flow along a vertical Riga plate with exponential varying viscosity and chemical reaction
    • Authors: EO Fatunmbi, AT Adeosun
    • Journal: International Communications in Heat and Mass Transfer
    • Citations: 62
    • Year: 2020
  • Climate change perception and adaptation in Nigeria’s guinea savanna: empirical evidence from farmers in Nasarawa State, Nigeria
    • Authors: PY Tarfa, HK Ayuba, RU Onyeneke, N Idris, CA Nwajiuba, CO Igberi
    • Journal: Applied Ecology & Environmental Research
    • Citations: 60
    • Year: 2019
  • Economics of smallholder fish farming to poverty alleviation in the Niger Delta Region of Nigeria
    • Authors: FA Iruo, RU Onyeneke, CC Eze, C Uwadoka, CO Igberi
    • Journal: Turkish Journal of Fisheries and Aquatic Sciences
    • Citations: 58
    • Year: 2018
  • Radiative heat transfer of variable viscosity and thermal conductivity effects on inclined magnetic field with dissipation in a non-Darcy medium
    • Authors: SO Salawu, MS Dada
    • Journal: Journal of the Nigerian Mathematical Society
    • Citations: 58
    • Year: 2016
  • Entropy generation of a radiative hydromagnetic Powell-Eyring chemical reaction nanofluid with variable conductivity and electric field loading
    • Authors: SO Salawu, HA Ogunseye
    • Journal: Results in Engineering
    • Citations: 56
    • Year: 2020
  • Physiochemical properties and electromagnetic wave absorption performance of Ni0.5Cu0.5Fe2O4 nanoparticles at X-band frequency
    • Authors: FA Wahaab, LL Adebayo, AA Adekoya, IG Hakeem, B Alqasem, …
    • Journal: Journal of Alloys and Compounds
    • Citations: 53
    • Year: 2020
  • Magnetohydrodynamic micropolar fluid flow in a porous medium with multiple slip conditions
    • Authors: EO Fatunmbi, HA Ogunseye, P Sibanda
    • Journal: International Communications in Heat and Mass Transfer
    • Citations: 52
    • Year: 2020

 

Dr . Juman Almasaad | Basic Medical Science | Best Researcher Award

Dr . Juman Almasaad | Basic Medical Science | Best Researcher Award

Dr . Juman Almasaad ,King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, National Guard Health Affairs,,Italy

Dr. Juman Almasaad is an esteemed academic and healthcare professional affiliated with King Saud bin Abdulaziz University for Health Sciences and King Abdulaziz Medical City, under the National Guard Health Affairs in Saudi Arabia. With extensive experience in health sciences, Dr. Almasaad has made significant contributions to medical research and education. Her work focuses on advancing healthcare practices and improving patient outcomes within the National Guard Health Affairs system. Dr. Almasaad is recognized for her dedication to the field and her role in fostering a collaborative and innovative healthcare environment

Summary:

Dr. Juman Almasaad is a Senior Lecturer with over 15 years of experience in Anatomy, Histology, and Embryology. She has a strong background in teaching, research, and curriculum development, with extensive experience in delivering engaging lectures and practical sessions. Dr. Almasaad has published extensively in leading anatomy journals and has developed a new undergraduate Anatomy and Histology curriculum. She is proficient in various laboratory techniques and is skilled in incorporating e-learning and 3D software into her teaching methods. Her professional journey includes significant roles at King Saud bin Abdulaziz University for Health Sciences, Imam Mohamed Ibn Saud Islamic University, Alfarabi Colleges, and Jordan University of Science and Technology.

 

Professional Profiles:

Google scholar

Orcid

Education :

Ph.D. | Histology and Embryology,Ondukuz Mais University, Samson, Turkey | 01/2022,MSc. | Anatomy,Jordan University of Science and Technology, Irbid, Jordan | 12/2011,Bachelor of Basic Medical Science | Human Anatomy,Omdurman Islamic University, Khartoum, Sudan | 06/2007,Bachelor of Science | Biology,University of Khartoum, Khartoum, Sudan | 06/2004

Administrative Skills:

  • Manages time effectively and meets deadlines.
  • Assesses and organizes resources effectively.
  • Experienced in student recruitment and admissions.

Teaching and Student Engagement:

  • Engages and inspires students, fostering a passion for learning.
  • Applies innovative and interactive teaching methods.
  • Designs and organizes effective course materials and assessments.
  • Provides academic support and constructive feedback.

Teaching Assistant:

  • Teach anatomy and histology practical sessions to medical, dentistry, and nursing students.
  • Develop and deliver high-quality learning materials.
  • Engage in educational research and scholarship.
  • Provide constructive feedback and support to students.

Professional Contributions:

  • Published extensively in anatomy journals
  • Developed and implemented new curricula
  • Experienced in student recruitment and admissions
  • Supervised student research projects and mentored staff

Conclusion:

Dr. Juman Almasaad’s extensive experience in both teaching and research, combined with her contributions to curriculum development and innovative teaching methods, make her a strong candidate for the Best Researcher Award. Her consistent involvement in significant research projects, demonstrated by her numerous publications and presentations at international conferences, underscores her dedication to advancing the field of anatomy and histology. Dr. Almasaad’s commitment to professional development and her ability to inspire and mentor students and colleagues further enhance her suitability for this prestigious recognition.

Publications :

  • Alarifi, A., Taha, K. M., Elamin, A. Y., Almasaad, J. M., et al. (2024). “Volume of Enlarged White Matter of Thalamus among Individuals with Depression on Magnetic Resonance Image.” Journal of Pharmacy and Bioallied Sciences, 16(Suppl 2), S1663-S1666.

 

  • Elamin, N. O., Almasaad, J. M., et al. (2024). “Smartphone addiction, stress, and depression among university students.” Clinical Epidemiology and Global Health, 101487.

 

  • Alsharif M.H., Bakhit N.M., Alarifi A., Nassir E.M., Mahdi A.A., Almasaad J.M., Elamin A.Y., Taha K.M. (2023). Hepatic multiple hyperintense cystic lesions: a rare caroli disease. The New Armenian Medical Journal. 17(1): 41-45.

 

  • Khalid M Taha, Juman M Almasaad, Abubaker Y Elamin, Mohammed H Karrar Alsharif, Nagi M Bakhit, Mamoun AAlfaki, Radial and Ulnar Artery Dominance among Sudanese Population-Colour Doppler Ultrasound Study, J Res Med Dent Sci, 2022, 10(8):208-212.

 

  • Alsharif, M.H.K., Gasmalla, H.E.E., Almasaad, J.M., Muhammad, J.S., Elamin, A.Y., Alamro, A., Shorbagi, S., Taha, M.H. and Eladl, M.A., 2022. Online Anatomy Education in the COVID-19 Pandemic: Challenges and Suggested Practices as Per Student and Faculty Experiences in the Saudi Arabia and United Arab Emirates. Education in Medicine Journal, 14(2).

 

  • Alsharif, M.H.K., Alfaki, M.A., Almasaad, J.M., Bakhit, N.M., Elamin, A.Y. and Taha, K.M., 2022. Trochanteric Attachment of Psoas Minor Muscle in 52 Years Old Female Cadaver in Alkharj, Saudi Arabia. Gomal Journal of Medical Sciences, 20(1), pp.55-57.

 

  • Taha KM, Elfaki A, Ali TO, Elamin AY, Bakhit NM, Almasaad JM, Alsharif MHK. Gender dependent difference of hippocampus and amygdala sizes in relation to depression: A manual brain segmentation study. Medical Science, 2022, 26, e2131.

 

  • Alsharif, M. H. K., Bakhit, N. M., Alfaki, M. A., Elamin, N. O., Almasaad, J. M., Elamin, A. Y., and Hassan, S. E. (2021). Solitary precaval right renal artery: A cadaveric case report and review.

 

  • Alsharif, M. H. K., Gasmalla, H. E. E., Elamin, A. Y., Almasaad, J. M., & Elhag, A. E. (2020). In Light of COVID-19 Crisis: Proposed Guidelines for the “New Norm” of Anatomy Teaching. Medical Science, 24(105), 3281-3290.

 

  • Alsharif, M. H. K., Almasaad, J. M., Taha, K. M., Elamin, A. Y., Bakhit, N. M., & Mahdi, A. A. (2021). The Role of Internet Usage on Positive Attitude Towards Self-Directed Learning among Medical Students. Education in Medicine Journal, 13(2).

 

 

 

 

 

 

 

Dr . Ali Asghar Bataleblu | Systems Engineering | Best Researcher Award

Dr . Ali Asghar Bataleblu | Systems Engineering | Best Researcher Award

Dr . Ali Asghar Bataleblu ,Free University of Bozen-Bolzano,Italy

Dr. Ali Asghar Bataleblu is an esteemed scholar at the Free University of Bozen-Bolzano in Italy. With a strong background in engineering, Dr. Bataleblu’s research interests encompass various domains within his field, contributing significantly to the academic and professional community. He has a rich history of publications in reputable journals and conferences, showcasing his expertise and commitment to advancing knowledge. Dr. Bataleblu is recognized for his innovative approaches and dedication to research, making notable impacts in his areas of interest. His work continues to inspire and influence both peers and students alike

Summary:

Dr. Ali Asghar Bataleblu is a Post-Doctoral Research Fellow at the Sustainable Manufacturing Laboratory, Free University of Bozen-Bolzano, focusing on Systems Engineering for Sustainability. His current research, funded by the Autonomous Province of Bolzano, is titled “Sustainable Factory Design Decomposition – SFDD.” In addition to his research work, he has teaching experience, including a course on Systems Engineering for the Design of Cyber-Physical Systems, aimed at PhD students in Advanced Systems Engineering. Dr. Bataleblu also has significant experience in organizing and lecturing at international summer schools and workshops related to axiomatic design and MBSE (Model-Based Systems Engineering).

 

Professional Profiles:

Scopus

Education :

  • Ph.D. in Mechanical Engineering,
  • M.Sc. in Mechanical Engineering,
  • B.Sc. in Mechanical Engineering,

Experience:

eacher, Engineering Faculty, UNIBZ
December 2023,Course Title: “Systems Engineering for the Design of Cyber-Physical Systems”,Introduction to systems engineering and MBSE to PhD students in Advanced Systems Engineering,Teamwork project to teach how to apply axiomatic design theory in dealing with real industrial case studies,Organizer, 3rd IAAD Summer School,July 2024,International Summer School on Axiomatic Design – Systems Engineering and Design on Complex Systems,Free University of Bozen-Bolzano, Italy,Overall organization of the summer school,Lecture on the Application of AI in MBSE,Tutoring the participating teams,Workshop Organizer, TU Austria Summer School Doc+,September 2023,Leoben, Austria,Workshop on Axiomatic Design,Lecture on MBSE and Application for Sustainable Factory Design Decomposition (SFDD)

Research Focus:

  • Sustainable factory design
  • Systems engineering
  • Axiomatic design theory
  • Model-based systems engineering (MBSE)
  • Application of AI in engineering design
  • Multidisciplinary design analysis
  • Multi-agent systems integration

Skills:

  • Systems engineering
  • Model-based systems engineering (MBSE)
  • Axiomatic design theory
  • Sustainable factory design
  • Application of AI in engineering
  • Multidisciplinary design optimization
  • Team leadership and project management
  • Tutoring and mentoring

Awards:

  • Grant recipient from the Autonomous Province of Bolzano for research on Sustainable Factory Design Decomposition (SFDD)

Publications :

  • Article: Developing an Intelligent Systems Design Framework Based on Multidisciplinary Design Analysis and Multi-Agent Thinking Integration
    • Authors: Ebrahimi, B., Bataleblu, A.A., Roshanian, J.
    • Journal: Expert Systems with Applications, 2024, Volume 248, Article 123363

 

  • Article: A Novel Approach to Feasible Optimal Cooperative Search and Coverage for Wildfire Emergency Management
    • Authors: Ebrahimi, B., Bataleblu, A.A., Roshanian, J., Khorrambakht, E.
    • Journal: International Journal of Disaster Risk Reduction, 2024, Volume 110, Article 104615

 

  • Conference Paper: Reinforcement Learning Applied to Multidisciplinary Systems Design Optimization of an Aerial Vehicle
    • Authors: Bataleblu, A.A., Bakhtiari, Z., Roshanian, J., Ginchev, D.

 

  • Conference Paper: Enhancing Efficiency of Multi-Agent Flying Systems Using Optimization
    • Authors: Ebrahimi, B., Bataleblu, A.A., Roshanian, J., Serbezov, V.

 

  • Conference Paper: Model-based Systems Engineering for Sustainable Factory Design
    • Authors: Bataleblu, A.A., Rauch, E., Fitch, J., Cochran, D.S.

 

  • Conference Paper: Impact of European Sustainability Reporting Standards Guidelines on the Design of Sustainable Factories and Manufacturing Systems
    • Authors: Bataleblu, A.A., Rauch, E., Cochran, D.S., Matt, D.T.

 

  • Conference Paper: Application of Life Cycle Assessment (LCA) in the Fast-Moving Consumer Goods Sector
    • Authors: Atarisharghi, E., Bataleblu, A.A., Emer, A., Rauch, E., Matt, D.T.

 

  • Conference Paper: Potential of Graph Database Visualization of the Supplier Network to Increase Resilience in Multi-tier Supply Chains
    • Authors: Rauch, E., Bataleblu, A.A., Golser, M., Emer, A., Matt, D.T.

 

  • Conference Paper: Smart Mobile Factory Design Decomposition Using Model-Based Systems Engineering
    • Authors: Bataleblu, A.A., Rauch, E., Revolti, A., Dallasega, P.

 

  • Conference Paper: Model-Based Systems Engineering in Smart Manufacturing – Future Trends Toward Sustainability
    • Authors: Bataleblu, A.A., Rauch, E., Cochran, D.S.