Ahmadreza Mohebbi | Artificial Intelligence in Education | Best Researcher Award

Dr. Ahmadreza Mohebbi | Artificial Intelligence in Education | Best Researcher Award

Faculty of Education and Social Work, The University of Auckland, New Zealand

Dr. Ahmadreza Mohebbi is a researcher and academic writer based in Auckland, New Zealand. He holds a Ph.D. in Education and Social Work from the University of Auckland (2024), where his thesis focused on the cultural conceptualisations of common terms among Māori and non-Māori secondary school students. With over a decade of experience in academic and professional writing, his expertise spans academic and technical writing, editing, and research analysis.

Profile:

🎓 Academic Background:

  • Ph.D. in Education and Social Work, University of Auckland (2024)
    Thesis: Cultural Conceptualisations among Māori and Non-Māori Students

  • M.A. in TEFL, Kharazmi University (2012)

  • B.A. in English Translation, Kashan University (2010)

  • 🏅 CELTA-certified, University of Auckland

🧠 Key Competencies:

  • Academic & Technical Writing ✍️

  • Editing & Proofreading 🔍

  • Research & Policy Analysis 📊

  • Deadline Management ⏰

  • Cross-Cultural Communication 🌍

  • AI & Education Technologies 🤖

💼 Professional Experience:

  • EAP Lecturer, ICL Education Group (2024)

  • Online Instructor, Cluey Learning (2023–present)

  • Corporate English Instructor, Baran Institute (2010–2022)

📚 Publications:

  • Books:

    • A Comprehensive Bilingual Dictionary of Phrasal Verbs (2018)

    • Basic Statistics for the Behavioral Sciences (2017)

  • Book Chapters (In Press):

    • Cultural Linguistics of the Māori – Springer Nature

    • Choosing the Right Frameworks in Research – Springer Nature

  • Journals:

    • Cogent Education, Routledge, Asian Englishes, European Journal of Education, The Reading Matrix Journal, and more

🗣️ Conferences & Committees:

  • 🗝️ Keynote Speaker – Frankfurt (Sensors Conference, 2025)

  • 👥 Committee Member – AI/ML Conferences (Osaka, Rome, Copenhagen, Madrid)

  • 🧩 Presenter – CamTESOL, ICLLL Dubai

📝 Editorial & Peer Review Roles:

  • Editorial Boards:

    • SCIREA Journal of Education, Journal of AI & Machine Learning, Language Exploration, and others

  • Reviewer For:

    • Assessing Writing (Elsevier), Linguistic Landscape, Education Sciences, Applied Economics Letters, etc.

  • Guest Editor:

    • Open Journal of Modern Linguistics, Creative Education

📊 Citation Metrics:

  • Total Citations: 125

  • Citations Since 2020: 96

  • h-index: 5

  • i10-index: 4

Publication Top Notes:

  • Self-regulated learning, goal-oriented learning, and academic writing performance of undergraduate Iranian EFL learners
    MA Farsani, M Beikmohammadi, A Mohebbi
    TESL-EJ, 18(2), Article n2, 2014.
    📑 Cited by: 54

  • Enabling learner independence and self-regulation in language education using AI tools: A systematic review
    A Mohebbi
    Cogent Education, 12(1), 2433814, 2025.
    📑 Cited by: 24

  • Intelligence profile of Iranian domestically designed and published ELT textbooks and students’ multiple intelligences
    Y Taaseh, A Mohebbi, F Mirzaei
    International Journal of Language and Linguistics, 2(1), 24–31, 2014.
    📑 Cited by: 18

  • A typological investigation of errors in the use of English in the bilingual and multilingual linguistic landscape of Tehran
    A Mohebbi, AH Firoozkohi
    International Journal of Multilingualism, 18(1), 24–40, 2021.
    📑 Cited by: 13

  • The use of cultural conceptualisations as a translation strategy for culture-specific jokes and humorous discourse: A remedy for a malady?
    A Mohebbi
    Ampersand, 11, 2023.
    📑 Cited by: 9

  • Optimising language learning for students with ADHD: Strategies for cultivating attentional mechanisms
    A Mohebbi
    In: Psycholinguistics – New Advances and Real-World Applications, 2023.
    📑 Cited by: 4

  • Situating L1 cultural conceptualizations in reading tasks of domestically designed English textbooks: Linking cultural linguistics theories to materials development praxis
    A Mohebbi, E Rahimi
    The Reading Matrix: An International Online Journal, 19(2), 28–47, 2019.
    📑 Cited by: 3

  • A mixed methods study of the impact of learning styles on learners’ uptake of corrective feedback
    A Mohebbi
    European Journal of English Language Teaching, 2020.

 

Godfrey Tabowei | Cardiology | Excellence in Research

Dr. Godfrey Tabowei | Cardiology | Excellence in Research

Texas Tech University Health Science center Permian Basin, United States

Dr. Godfrey Tabowei is a physician-scientist specializing in internal medicine and cardiology. He earned his medical degree from Niger Delta University in Nigeria and has undergone clinical training across Nigeria, the United Kingdom, and the United States. With over 80 completed or ongoing research projects and more than 30 peer-reviewed publications in leading journals such as JACC, JAHA, and JSCAI, his work focuses on cardiovascular outcomes, health disparities, and quality improvement. Dr. Tabowei holds editorial appointments in five journals and is a member of prestigious professional bodies including the ACC, AHA, and HFSA. His research has been presented at major international conferences.

Profile:

🎓 Academic & Professional Background:

Completed medical education at Niger Delta University, Nigeria. Completed internship and national service as a medical officer. Trained in Psychiatry in the UK while building research expertise. Currently completing residency training in Internal Medicine in the USA, gaining advanced clinical and academic skills.

🔬 Research & Innovations:

  • Led/participated in 83 research projects

  • Published 30+ peer-reviewed articles in journals such as JACC, JAHA, and JSCAI

  • Holding 1 patent under process

  • Active in editorial boards (5 appointments) and international collaborations (5)

💡 Areas of Expertise:

Internal Medicine | Cardiology | Cardiovascular Research | Health Disparities

📊 Key Contributions:

Authored systematic reviews and meta-analyses on pulmonary hypertension, TAVR outcomes, anticoagulation strategies, and heart failure disparities. Presented findings at major conferences (JACC, SCAI, AHA), improving clinical practice and patient care—especially in underserved communities.

🏅 Professional Memberships:

American College of Cardiology | American Heart Association | Heart Failure Society of America | American College of Physicians | Gold Humanism Honor Society

Publication Top Notes:

1. The Association of COVID-19 and Mortality in Hospitalizations With Coronary Artery Bypass Graft
Journal of the Society for Cardiovascular Angiography & Interventions
May 2025
DOI: 10.1016/j.jscai.2025.103605
Contributors: Godfrey Tabowei, John Garza, Ayman Fath, Ahmed Bashir Sukhera, Oboseh John Ogedegbe, Gabriel Alugba, Samuel Dadzie, Ooreoluwa Fasola, Meron Tesfaye, Evbu Enakpene, et al.

2. Unveiling Lipoprotein(a): A New Frontier in Heart Health
Indian Journal of Clinical Cardiology
May 20, 2025
DOI: 10.1177/26324636251341038
Contributors: Godfrey Tabowei, Divya Parepalli, Taylor Sanders, Oboseh John Ogedegbe, Ahmed Bashir Sukhera, Gabriel Alugba, Samuel Dadzie, Bosky Modi, Eunice Mejulu, Laura Gonzalez-Reyes, et al.

Siddhartha Kundu | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Siddhartha Kundu | Mathematics |  Best Researcher Award

Associate Professor at All India Institute Of Medical Sciences Delhi, India

Dr. Siddhartha Kundu is an Associate Professor in the Department of Biochemistry at the All India Institute of Medical Sciences (AIIMS), New Delhi. He holds an MBBS, MD, and PhD, and brings extensive expertise in clinical biochemistry and molecular diagnostics. With a strong background in academic research and teaching, Dr. Kundu has contributed to several national and international scientific publications. He is actively engaged in advancing biochemical research and medical education in India.

Profile:

Professional Experience:

With over 20 years of post-MD experience, Dr. Siddhartha Kundu is a medical doctor and biochemical scientist with recognized contributions in teaching, research, and academic leadership.

  • Teaching/Research: 18+ years

  • Advisory Roles: 2+ years

  • Leadership Positions: 2+ years

Research Interests:

  • Mathematical Modeling of macromolecules and complex biochemical systems (both physiological and pathological)

  • Bioinformatics & Algorithm Development for molecular biology applications

Technical Skills:

  • Programming Languages: PERL, C, Python

  • Data Analysis Platforms: R, Cygwin

  • Bioinformatics: Algorithm design, modeling, and simulation

Editorial Contributions:

  • Invited Reviewer for peer-reviewed journals such as:

    • Scientific Reports

    • Bioinformatics

    • PLOS ONE

    • Indian Journal of Medical Research (IJMR)

Research Output:

(A) Software and Servers Developed

  1. TemporalGSSA
    R package for time-step parameterization in biochemical networks.

  2. ReDirection
    R package for calculating dissociation constants and dominant reaction direction.

  3. ProTG4
    Web server predicting protein sequences from TG4-mapped peptide libraries.

  4. Fe2OG
    Web server predicting Fe(II)/2-oxoglutarate-dependent dioxygenase functions.

(B) Selected Peer-Reviewed Publications

(Author is sole and corresponding author in most; # = single author, * = corresponding)

  1. Kundu S#*. Scientific Reports (2024) – Dissociation constants in biochemical networks.

  2. Kundu S#*. Front Mol Biosci (2023) – ReDirection R-package.

  3. Kundu S#*. Math Biosci Eng (2022) – Ligand interactions as eigenvalue functions.

  4. Kundu S#*. J Bioinf Comp Biol (2022) – TemporalGSSA.

  5. Kundu S#*. Bioinform Biol Insights (2021) – ProTG4 server.

(Full publication list available upon request or via PubMed search)

(C) Conferences, Abstracts & Chapters

  • Conference Abstract: “Role of mathematical models in elucidating biochemical rules”, WGC Singapore (2018).

  • Book Reviews: National Medical Journal of India (2005), Indian Journal of History of Science (2006)

(D) Posters

Presented at:

  • BIOSPARKS 2018, JNU, New Delhi

  • 3rd International Plant Physiology Congress, JNU

  • 3rd International Conference on Integrative Biology, Valencia, Spain

Honors and Awards:

  • AIIMS Excellence in Research Award2021, 2022

Additional Information:

  • Dr. Kundu is a passionate educator and innovator in the application of mathematical and computational models to unravel biological complexity. His work bridges medical biochemistry, theoretical biology, and systems modeling.

Citation Metrics:

  • Total Citations: 133

  • Citations since 2020: 78

  • h-index: 7

  • h-index since 2020: 6

  • i10-index: 5

  • i10-index since 2020: 1

Publication Top Notes:

  • Insights into the molecular mechanism of apoptosis induced by TNF-α in mouse epidermal JB6-derived RT-101 cells
    N. Singh, N. Khanna, H. Sharma, S. Kundu, S. Azmi
    Biochemical and Biophysical Research Communications, 2002

  • Distribution and prediction of catalytic domains in 2-oxoglutarate dependent dioxygenases
    S. Kundu
    BMC Research Notes, 2012

  • Origin, evolution, and divergence of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    BMC Evolutionary Biology, 2018

  • In silico identification and taxonomic distribution of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    Frontiers in Plant Science, 2016

  • Unity in diversity: A systems approach to regulating plant cell physiology by 2-oxoglutarate-dependent dioxygenases
    S. Kundu
    Frontiers in Plant Science, 2015

  • Co-operative intermolecular kinetics of 2-oxoglutarate dependent dioxygenases may be essential for system-level regulation of plant cell physiology
    S. Kundu
    Frontiers in Plant Science, 2015

  • Insights into the mechanism(s) of digestion of crystalline cellulose by plant class C GH9 endoglucanases
    S. Kundu
    Journal of Molecular Modeling, 2019

  • Stochastic modelling suggests that an elevated superoxide anion-hydrogen peroxide ratio can drive extravascular phagocyte transmigration by lamellipodium formation
    S. Kundu
    Journal of Theoretical Biology, 2016

  • Mathematical modeling and stochastic simulations suggest that low-affinity peptides can bisect MHC-I mediated export of high-affinity peptides into “early”- and “late”-phases
    S. Kundu
    Heliyon, 2021

  • Modeling ligand-macromolecular interactions as eigenvalue-based transition-state dissociation constants may offer insights into biochemical function of the resulting complexes
    S. Kundu
    Mathematical Biosciences and Engineering, 2022

  • ReDirection: An R-package to compute the probable dissociation constant for every reaction of a user-defined biochemical network
    S. Kundu
    Frontiers in Molecular Biosciences, 2023

  • Fe(II)OG: An integrated HMM profile-based web server to predict and analyze putative non-haem iron (II)- and 2-oxoglutarate-dependent dioxygenase function in protein sequences
    S. Kundu
    BMC Research Notes, 2021

  • Mathematical basis of improved protein subfamily classification by a HMM-based sequence filter
    S. Kundu
    Mathematical Biosciences, 2017

  • A mathematically rigorous algorithm to define, compute and assess relevance of the probable dissociation constants in characterizing a biochemical network
    S. Kundu
    Scientific Reports, 2024

  • TemporalGSSA: A numerically robust R-wrapper to facilitate computation of a metabolite-specific and simulation time-dependent trajectory from stochastic simulation algorithm output
    S. Kundu
    Journal of Bioinformatics and Computational Biology, 2022

 

Ghassab Al-Mazaideh | Nanoscience | Best Research Article Award

Prof. Ghassab Al-Mazaideh |  Nanoscience | Best Research Article Award

University of Hafr Al Batin, Saudi Arabia

Dr. Ghassab Al-Mazaideh is an Associate Professor of Pharmaceutical Chemistry at the University of Hafr Al Batin, Saudi Arabia. With a strong foundation in drug design, analytical techniques, and spectroscopic methods, he has authored over 80 scientific publications. His academic career is marked by interdisciplinary teaching, leadership roles, and a commitment to innovation and community service. Dr. Al-Mazaideh has received multiple international fellowships and university-level awards recognizing his contributions to pharmaceutical research and education.

Profile:

Academic Positions:

  • Associate Professor, College of Pharmacy, University of Hafr Al Batin, Saudi Arabia
    Feb 2020 – Present

  • Head of Department, College of Pharmacy, University of Hafr Al Batin
    May 2020 – Mar 2022

  • Pharmaceutical Chemist, College of Pharmacy, Universiti Sains Malaysia, Malaysia
    Sep 2019 – Feb 2020

  • Associate Professor, Faculty of Science, Tafila Technical University, Jordan
    Jul 2018 – Present

  • Assistant Professor, Faculty of Science, Tafila Technical University
    Jul 2014 – Jul 2018

  • Lecturer, Faculty of Science, Tafila Technical University
    Jun 2012 – Jul 2014

  • Research Assistant, University of Halle-Wittenberg, Germany
    Feb 2009 – May 2012

  • Research Assistant, TU Chemnitz, Germany
    Aug 2008 – Jan 2009

  • Teaching Assistant, Tafila Technical University
    Jan 2006 – Aug 2008

  • High School Teacher, Ministry of Education, Jordan
    Aug 2001 – Jan 2005

Education:

  • Ph.D. in Pharmaceutical Sciences (Chemistry)
    Martin Luther University Halle-Wittenberg, Germany | 2009–2012

  • M.Sc. in Chemistry
    Mu’tah University, Jordan | 2002–2005

  • B.Sc. in Chemistry
    Mu’tah University, Jordan | 1997–2001

Key Committees and Leadership Roles:

University of Hafr Al Batin

  • Coordinator, Dept. of Pharmaceutical Chemistry

  • Head, Laboratories Committee

  • Member: Curriculum, Academic, Quality & Accreditation, Strategic Planning, Safety, Crisis Management, etc.

  • Coordinator for Pharmaceutical Organic Chemistry courses

  • Led the preparation of award-winning annual reports (1443, 1444)

Tafila Technical University

  • Head, Scientific Activities Committee

  • Member of multiple university-level committees

Courses Taught:

Undergraduate – University of Hafr Al Batin

  • Pharmaceutical Organic Chemistry I & II

  • Clinical Biochemistry (Lab)

  • Instrumental Chemical Analysis

  • Pharmacology & Therapeutics Labs

  • Legal Aspects in Healthcare

Undergraduate – Tafila Technical University

  • General, Organic, and Analytical Chemistry

  • Biochemistry & Clinical Biochemistry

  • Chemistry of Natural Products

  • Drug Chemistry and Analysis

Postgraduate

  • Biomolecules

  • Research Methods

Skills:

  • Software: ChemOffice, SciFinder, MestReNova, X-Calibur, EndNote, MS Office, Linux

  • Scientific: Drug design, SAR, Spectroscopy (HNMR, CNMR), Mass Spectrometry

  • Writing: Scientific paper and patent writing (80+ published papers)

  • Training: Experienced mentor for BSc and MSc students

  • Other: ICDL-certified, amateur photography, grant writing

Awards & Fellowships:

  • DFG Fellowship, TU Chemnitz, Germany – 2015

  • PhD Scholarship, Tafila Technical University – 2008

  • Excellence Letters from Presidents of Tafila Technical University – 2016 & 2018

Volunteer & Community Engagement:

  • Organizer and trainer in community programs on drug development, research methods, and medicinal plants

  • Active participant in World Obesity and Cancer Day campaigns

  • Head of Investigation Committees, Tafila Technical University

Citation Metrics:

  • Total Citations: 938

  • Citations Since 2020: 766

  • h-index: 16

  • h-index Since 2020: 14

  • i10-index: 30

  • i10-index Since 2020: 21

Publication Top Notes:

  1. A study of the optical band gap of zinc phthalocyanine nanoparticles using UV–Vis spectroscopy and DFT function
    K.J. Hamam, M.I. Alomari
    Applied Nanoscience, 7(5), 261–268, 2017. Cited by: 93

  2. Application of docking and QM/MM-GBSA rescoring to screen for novel Myt1 kinase inhibitors
    K. Wichapong, A. Rohe, C. Platzer, I. Slynko, F. Erdmann, M. Schmidt, G. Al-Mazaideh, et al.
    Journal of Chemical Information and Modeling, 54(3), 881–893, 2014. Cited by: 81

  3. Synthesized of Zeolite@Ag₂O Nanocomposite as Superb Stability Photocatalysis Toward Hazardous Rhodamine B Dye from Water
    N.H.A.A. R. Haounati, F. Alakhras, H. Ouachtak, T. Saleh, G. Al-Mazaideh, et al.
    Arabian Journal for Science and Engineering, 2022. Cited by: 51*

  4. Adsorptive Removal of Cationic Rhodamine B Dye from Aqueous Solutions Using Chitosan-Derived Schiff Base
    F. Alakhras, H. Ouachtak, E. Alhajri, R. Rehman, G. Al-Mazaideh, et al.
    Separation Science and Technology, 2022. Cited by: 51

  5. Assessment of antioxidant, antimicrobial, and anticancer activities of Sisymbrium officinale plant extract
    M.H.F. Khalid, M. Amayreh, S. Sanduka, Z. Salah, F. Al-Rimawi, G. Al-Mazaideh, et al.
    Heliyon, 8, e10477, 2022. Cited by: 47

  6. Corrosion Inhibition of Copper by Capparis spinosa L. Extract in Strong Acidic Medium: Experimental and Density Functional Theory
    F. Wedian, M.A. Al-Qudah, G.M. Al-Mazaideh
    International Journal of Electrochemical Science, 12(2), 4664–4676, 2017. Cited by: 44

  7. Sorption of cobalt (II) ions from aqueous solutions using chemically modified chitosan
    H. Al-Shahrani, F. Alakhras, E. Al-Abbad, G. Al-Mazaideh, et al.
    Global NEST Journal, 20(3), 620–627, 2018. Cited by: 35

  8. Molecular Mechanisms of Vitamin D-Mediated Immunomodulation
    F.K. Alswailmi, S.I.A. Shah, H. Nawaz, G.M. Al-Mazaideh
    Galen Medical Journal, 10, e2097, 2021. Cited by: 33

  9. Vitamin D is a potential inhibitor of COVID-19: In silico molecular docking to the binding site of SARS-CoV-2 endoribonuclease Nsp15
    F.K.A.S.M.G.A.T. Mohammed, H. Shalayel, G.M. Al-Mazaideh, S.H. Aladaileh
    Pakistan Journal of Pharmaceutical Sciences, 33(5), 2179–2186, 2020. Cited by: 25

  10. DFT calculations of Mesembryanthemum nodiflorum compounds as corrosion inhibitors of aluminum
    G.M. Al-Mazaideh, T.S. Ababneh, K.H. Abu-Shandi, R. Jamhour, H.J.A. Salman, et al.
    Physical Science International Journal, 12(1), 1–12, 2016. Cited by: 23

 

Srinivasa Rao Gundu | Computer Science | Best Researcher Award

Dr. Srinivasa Rao Gundu | Computer Science | Best Researcher Award

Assistant Professor at Malla Reddy University, India

Dr. Srinivasa Rao Gundu is an Assistant Professor at the School of Sciences, Malla Reddy University, Hyderabad, with over 18 years of academic and professional experience in computer science. He earned his Ph.D. in Computer Science from Dravidian University in 2021, focusing on hybrid algorithms for load balancing in cloud computing environments. His thesis introduced and tested novel RT, RTE, and RTEAH hybrid algorithms to enhance cloud resource allocation and performance.

Profile:

🎓 Academic Background:

  • Ph.D. in Computer Science
    Dravidian University, India
    Thesis: “Hybrid Approach to Load Balancing in Cloud Environment”
    His doctoral research focused on designing and testing hybrid algorithms (RT, RTE, RTEAH) to optimize load balancing in cloud computing environments, considering parameters like response time, execution time, and network delay.

  • Master of Computer Applications (M.C.A.)
    Osmania University, Hyderabad

  • Bachelor of Science (Computer Science)
    Osmania University, Hyderabad

🧠 Areas of Expertise:

  • Cloud Computing & Load Balancing

  • Quantum Computing & Cryptography

  • Artificial Intelligence & Machine Learning

  • Big Data Analytics

  • Internet of Things (IoT)

  • Operating Systems & Networking Global Journals

👨‍🏫 Teaching Experience:

  • Assistant Professor, Malla Reddy University (2023–Present)
    Courses: Applied Cryptography & Network Security, Operating Systems, Quantum ComputingAcademia.edu+6MR University+6ResearchGate+6

  • Guest Lecturer, Government Degree College, Hyderabad (2021–2023)
    Courses: C, C++, Java, DBMS, Oracle, Web Designing

  • Senior Software Trainer, Key Soft Computer Education (2019–2021, 2009–2013)

  • Programmer, JKR Softech Pvt. Ltd. (2013–2014)

  • Software Trainer, S3K Software Solutions (2006–2009)IGI Global+7Academia.edu+7LinkedIn+7

🏅 Professional Memberships:

  • Computer Science Teachers Association (CSTA) – USA

  • International Association of Engineers (IAENG) – Hong Kong

  • Indian Science Congress Association (ISCA) – India

  • Internet Society (ISOC) – USA

  • American Physical Society (APS) – USA

  • American Mathematical Society (AMS) – USA

  • Institute of Mathematical Statistics (IMS) – USA

  • Education Research and Development Association (ERDA) – India

  • International Association of Innovation Professionals (IAOIP) – USA

  • Scope Database – International Advisory Board (SD-IAB) – Singapore

Citation Metrics:

  • Total Citations: 208

  • Citations Since 2020: 206

  • h-index: 8

  • i10-index: 6

Publication Top Notes:

  1. Hybrid IT and multi cloud: An emerging trend and improved performance in cloud computing
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(5), 256. [Citations: 43]

  2. Sixth‐Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High‐Performance Computing Implementation
    Gundu, S.R., Charanarur, P., Chandelkar, K.K., Samanta, D., Poonia, R.C., et al. (2022). Wireless Communications and Mobile Computing, 2022(1), 4397610. [Citations: 33]

  3. Real-time cloud-based load balance algorithms and an analysis
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(4), 187. [Citations: 27]

  4. The dynamic computational model and the new era of cloud computation using Microsoft Azure
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1(5), 264. [Citations: 13]

  5. Robotic technology-based cloud computing for improved services
    Gundu, S.R., Panem, C.A., & Timmapuram, A. (2020). SN Computer Science, 1(4), 190. [Citations: 11]

  6. Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing
    Anuradha, B.S.R.G.T. (2019). Global Journal of Computer Science and Technology: B Cloud and Distributed, [Citations: 11]

  7. Emerging computational challenges in cloud computing and RTEAH algorithm based solution
    Gundu, R.S.G., Thimmapuram, A., & Panem, C.A. (2021). Journal of Ambient Intelligence and Humanized Computing, 11. [Citations: 9]

  8. Machine-learning-based spam mail detector
    Charanarur, P., Jain, H., Rao, G.S., Samanta, D., Sengar, S.S., & Hewage, C.T. (2023). SN Computer Science, 4(6), 858. [Citations: 8]

  9. High‐Performance Computing‐Based Scalable “Cloud Forensics‐as‐a‐Service” Readiness Framework Factors—A Review
    Gundu, S.R., Panem, C., & Satheesh, S. (2022). Cyber Security and Network Security, 27-45. [Citations: 8]

  10. Improved implementation of hybrid approach in cloud environment
    Rao, G.S., & Anuradha, T. (2018). Network, 3, 3.312. [Citations: 6]

  11. Improved hybrid approach for load balancing in virtual machine
    Rao, G.S., & Anuradha, T. (2018). International Journal of Computer Science Engineering, 6(10), 730-733. [Citations: 5]

  12. Intelligence Using Automata-Based Nature’s Digital Philosophy
    Gundu, S.R., Panem, C.A., & Thimmapuram, A. (2020). SN Computer Science, 1, 1-6. [Citations: 4]

  13. Fuzzy Logic Applications in Computer Science and Mathematics
    Kar, R., Le, D.N., Mukherjee, G., Mallik, B.B., & Shaw, A.K. (2023). John Wiley & Sons. [Citations: 3]

  14. The role of machine learning and artificial intelligence in detecting the malicious use of cyber space
    Panem, C., Gundu, S.R., & Vijaylaxmi, J. (2023). Robotic Process Automation, 19-32. [Citations: 3]

  15. Digital Data Growth and the Philosophy of Digital Universe in View of Emerging Technologies
    Gundu, T.A.S.R. (2020). International Journal of Scientific Research in Computer Science, [Citations: 3]

  16. A comprehensive study on cloud computing and its security protocols and performance enhancement using artificial intelligence
    Gundu, S.R., Panem, C., & Vijaylaxmi, J. (2023). Robotic Process Automation, 1-17. [Citations: 2]

  17. Deception preclusion, discretion, and data safety for contemporary business
    Gundu, S.R., Charanarur, P., & Vijaylaxmi, J. (2023). Fraud Prevention, Confidentiality, and Data Security for Modern Businesses. [Citations: 2]

  18. Protection of personal data and internet of things security
    Charanarur, P., Gundu, S.R., & Vijaylaxmi, J. (2023). Fraud Prevention, Confidentiality, and Data Security for Modern Businesses. [Citations: 2]

  19. Cloud Computing and its Service Oriented Mechanism
    Gundu, C.S.R., & Panem (2022). Akinik Publications, New Delhi. [Citations: 2]

  20. Observed issues in cloud-based web commerce adoption for the financial transactions in Hyderabad
    Gundu, T.A.S.R., & Panem, C.A. (2021). Journal of Mechanics of Continua and Mathematical Sciences, 16(9), 1-13. [Citations: 2]

 

Aziz Maleki | Nanotechnology | Best Researcher Award

Assoc. Prof. Dr. Aziz Maleki | Nanotechnology | Best Researcher Award

Zanjan University of Medical Sciences, Iran

Aziz Maleki, Ph.D. is an Associate Professor in the Department of Pharmaceutical Nanotechnology at the School of Pharmacy, Zanjan University of Medical Sciences, Iran. He holds a Ph.D. in Organic Chemistry from the Institute for Advanced Studies in Basic Sciences (IASBS), followed by a postdoctoral fellowship in Nanomedicine. His research focuses on tissue engineering, phototherapy, catalytic nanomedicine, and sonodynamic therapy. Dr. Maleki serves as Dean of the Zanjan Pharmaceutical Nanotechnology Research Center and has authored numerous peer-reviewed publications. He is a member of editorial boards for journals such as Small and ACS Applied Nano Materials, and actively participates in national and international research projects.

Profile:

🎓 Education:

  • Postdoc in Nanomedicine, School of Pharmacy, Zanjan University of Medical Sciences, 2014–2016

  • Ph.D. in Organic Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran, 2004–2009

  • M.Sc. in Organic Chemistry, Kharazmi University, Tehran, Iran, 2001–2003

  • B.Sc. in Pure Chemistry, Tarbiat Modares University, Tehran, Iran, 1996–2000

👨‍🏫 Academic Appointments:

  • Associate Professor, Department of Pharmaceutical Nanotechnology, Zanjan University of Medical Sciences, Nov 2016–Present

  • Dean, Zanjan Pharmaceutical Nanotechnology Research Center, Oct 2021–Present

  • Dean, Department of Pharmaceutical Nanotechnology, Dec 2019–Dec 2020

  • Quality Control Manager, School of Pharmacy, ZUMS, Nov 2016–Present

  • Postdoctoral Researcher, School of Pharmacy, ZUMS, Nov 2014–Nov 2016

  • Research Assistant, IASBS, Oct 2015–Dec 2015

🧪 Research Interests:

  • Tissue engineering

  • Phototherapy

  • Bioadhesives

  • Catalytic nanomedicine

  • Sonodynamic therapy

🧬 Research Projects (Selected):

  • Ce-Bi@ZIF-8 hybrid nanocomposite for Alzheimer’s therapy, 2021–2023

  • Polymer-coated mesoporous silica for dissolution enhancement, Completed 2019

  • Artificial skin photothermal studies with polydopamine nanoparticles, 2022

  • Gelatin-Platelet Hydrogels for wound healing, 2020–2023

🏆 Honors and Awards:

  • Ranked 34th in National MSc Entrance Exam (Organic Chemistry), 2010

  • Selected as Exemplary Teacher, ZUMS

  • NIMAD-TÜBİTAK Grant Awardee, 2021 (Grant No. 9900262)

  • Selected among Top 110 Scholars by Iran National Science Foundation, 2023

  • Awarded/Highlighted by Iran Science Elites Federation

🧑‍🎓 Student Supervision (Selected):

  • Nasim Shadmani (Postdoc) – Mesoporous silica nanocarriers for methotrexate

  • Samaneh Fateh (PhD) – Mesoporous silica for brain delivery of rivastigmine

  • Vagiheh Alinegad (PhD) – Polydopamine hydrogels for wound healing

  • Shayesteh Bochani (PhD) – MnO₂ nanosheets in wound healing

  • Roya Poornouroz (PhD) – MOFs in dissolution enhancement of fenofibrate

  • Rezvaneh Azizi (PharmD) – Cu-functionalized ZIFs for infected wounds

📚 Book Chapters:

  • Nanoarchitectured Mesoporous Silica-Based Drug-Delivery Systems, Elsevier, 2016

  • Functionalized Quantum-Dot-Based Nanomaterials for Cancer Therapy, Elsevier, 2024

🧫 Laboratory and Technical Skills:

  • Characterization: TGA, DSC, H¹NMR, FT-IR, UV-Vis, SEM, TEM, N₂ adsorption

  • Instrumentation: DLS, FT-IR, UV/Vis, HPLC

  • Animal Studies: MTT assay, tumor modeling, wound/abscess models

💻 Software Skills:

  • ChemOffice, ImageJ, OriginPro, EndNote, Zotero, Mendeley, Microsoft Office

📄 Peer Review & Editorial Activities:

  • Editorial Board Member:

    • Journal of Nanostructure in Chemistry (IF=8, Springer)

    • Polymers (IF=5, MDPI – Special Issue)

  • Referee for journals including:

    • Small, ACS Applied Materials & Interfaces, ACS Applied Nano Materials, ACS Applied Bio Materials

Citation Metrics:

  • Total citations: 3,620 (3,365 since 2020)

  • h-index: 28 (27 since 2020)

  • i10-index: 38 (35 since 2020)

Publication Top Notes:

  1. Multifunctional photoactive hydrogels for wound healing acceleration
    A Maleki, J He, S Bochani, V Nosrati, MA Shahbazi, B Guo
    ACS Nano 15(12), 18895–18930, 2021.
    Citations: 439

  2. Promoting role of MXene nanosheets in biomedical sciences: therapeutic and biosensing innovations
    M Soleymaniha, MA Shahbazi, AR Rafieerad, A Maleki, A Amiri
    Advanced Healthcare Materials 8(1), 1801137, 2019.
    Citations: 365

  3. MXenes and ultrasonication
    M Malaki, A Maleki, RS Varma
    Journal of Materials Chemistry A 7(18), 10843–10857, 2019.
    Citations: 349

  4. Mesoporous silica materials: From physico-chemical properties to enhanced dissolution of poorly water-soluble drugs
    A Maleki, H Kettiger, A Schoubben, JM Rosenholm, V Ambrogi, M Hamidi
    Journal of Controlled Release, 2017.
    Citations: 305

  5. Advances in tannic acid-incorporated biomaterials: Infection treatment, regenerative medicine, cancer therapy, and biosensing
    A Bigham, V Rahimkhoei, P Abasian, M Delfi, J Naderi, M Ghomi, …
    Chemical Engineering Journal 432, 134146, 2022.
    Citations: 190

  6. Mesoporous silica‐based materials with bactericidal properties
    A Bernardos, E Piacenza, F Sancenon, M Hamidi, A Maleki, RJ Turner, …
    Small 15(24), 1900669, 2019.
    Citations: 185

  7. Biomedical applications of MXene‐integrated composites: regenerative medicine, infection therapy, cancer Treatment, and biosensing
    A Maleki, M Ghomi, N Nikfarjam, M Akbari, E Sharifi, MA Shahbazi, …
    Advanced Functional Materials 32(34), 2203430, 2022.
    Citations: 164

  8. The progress and prospect of zeolitic imidazolate frameworks in cancer therapy, antibacterial activity, and biomineralization
    A Maleki, MA Shahbazi, V Alinezhad, HA Santos
    Advanced Healthcare Materials 9(12), 2000248, 2020.
    Citations: 158

  9. Mesoporous bioactive glasses in cancer diagnosis and therapy: stimuli‐responsive, toxicity, immunogenicity, and clinical translation
    E Sharifi, A Bigham, S Yousefiasl, M Trovato, M Ghomi, Y Esmaeili, …
    Advanced Science 9(2), 2102678, 2022.
    Citations: 124

  10. Electroconductive multi-functional polypyrrole composites for biomedical applications
    EN Zare, T Agarwal, A Zarepour, F Pinelli, A Zarrabi, F Rossi, …
    Applied Materials Today 24, 101117, 2021.
    Citations: 115

  11. Conferring BiVO4 Nanorods with Oxygen Vacancies to Realize Enhanced Sonodynamic Cancer Therapy
    Z Yang, M Yuan, B Liu, W Zhang, A Maleki, B Guo, P Ma, Z Cheng, J Lin
    Angewandte Chemie International Edition 61(44), e202209484, 2022.
    Citations: 108

  12. Bioinspired microneedle patches: Biomimetic designs, fabrication, and biomedical applications
    P Makvandi, A Maleki, M Shabani, ARJ Hutton, M Kirkby, R Jamaledin, …
    Matter 5(2), 390–429, 2022.
    Citations: 104

  13. Emerging insights on drug delivery by fatty acid mediated synthesis of lipophilic prodrugs as novel nanomedicines
    N Fattahi, MA Shahbazi, A Maleki, M Hamidi, A Ramazani, HA Santos
    Journal of Controlled Release 326, 556–598, 2020.
    Citations: 74

  14. Self-assembled organic–inorganic hybrid silica with ionic liquid framework: a novel support for the catalytic enantioselective Strecker reaction of imines using Yb(OTf)3
    B Karimi, A Maleki, D Elhamifar, JH Clark, AJ Hunt
    Chemical Communications 46(37), 6947–6949, 2010.
    Citations: 74

  15. Nanoarchitectonics for smart delivery and drug targeting
    AM Holban, AM Grumezescu
    William Andrew, 2016.
    Citations: 70

  16. Dendrimers as nanoscale vectors: Unlocking the bars of cancer therapy
    AD Dey, A Bigham, Y Esmaeili, M Ashrafizadeh, FD Moghaddam, SC Tan, …
    Seminars in Cancer Biology 86, 396–419, 2022.
    Citations: 67

  17. Chemically engineered immune cell‐derived microrobots and biomimetic nanoparticles: emerging biodiagnostic and therapeutic tools
    LP Jahromi, MA Shahbazi, A Maleki, A Azadi, HA Santos
    Advanced Science 8(8), 2002499, 2021.
    Citations: 66

  18. Dissolution enhancement of a model poorly water-soluble drug, atorvastatin, with ordered mesoporous silica: comparison of MSF with SBA-15 as drug carriers
    A Maleki, M Hamidi
    Expert Opinion on Drug Delivery, 2015.
    Citations: 54

  19. Titanium‐based nanoarchitectures for sonodynamic therapy‐involved multimodal treatments
    A Maleki, M Seyedhamzeh, M Yuan, T Agarwal, I Sharifi, A Mohammadi, …
    Small 19(12), 2206253, 2023.
    Citations: 48

  20. ROS-responsive hydrogels with spatiotemporally sequential delivery of antibacterial and anti-inflammatory drugs for the repair of MRSA-infected wounds
    B Qiao, J Wang, L Qiao, A Maleki, Y Liang, B Guo
    Regenerative Biomaterials 11, rbad110, 2024.
    Citations: 45

 

Abhimanyu Kumar | Cryptography | Best Researcher Award

Dr. Abhimanyu Kumar | Cryptography | Best Researcher Award

Assistant Professor at  National Institute of Technology, Patna, India

Dr. Abhimanyu Kumar is an Assistant Professor (Grade-I) in the Department of Computer Science and Engineering at the National Institute of Technology (NIT) Patna, India. His research interests include [insert key research areas such as Artificial Intelligence, Machine Learning, Cybersecurity, etc.]. He has published several papers in reputed journals and conferences and is actively involved in academic and research activities.

Profile:

Educational Qualifications:

  • Ph.D. in Computer Science
    Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India
    Thesis: Some Group Key Agreement Protocols Using Elliptic Curve Cryptography
    Supervisor: Dr. Sachin Tripathi
    Registration Date: 06/02/2012 | Defense Date: 07/03/2016

  • B.Sc. Engineering (CSE)
    R.P. Sharma Institute of Technology, Patna (Affiliated to M.U. Bodh Gaya)
    Percentage: 79.38%

  • HSC – Gaya College, Gaya, Bihar
    Percentage: 62.50%

  • SSC – T. Model Inter School, Gaya
    Percentage: 71.00%

Employment History:

  • Assistant Professor (Grade-I)
    Department of Computer Science and Engineering
    National Institute of Technology Patna
    From 1st August 2024 – Present

  • Assistant Professor (Grade-I)
    Department of Computer Science and Engineering
    National Institute of Technology, Uttarakhand
    From 15th September 2023 – 31st July 2024

  • Assistant Professor (Grade-II)
    Department of Computer Science and Engineering
    National Institute of Technology, Uttarakhand
    From 17th June 2016 – 14th September 2023

Areas of Specialization:

  1. Cryptography and Key Establishment

  2. Network Security

  3. Smart Grid Applications

  4. Attribute-Based Cryptosystems

Research Supervision:

Ph.D. Supervision:

  1. Sachin ChoudharyThesis Submitted
    Design of Privacy Preservation and Authentication Scheme for Smart Grid Applications

  2. Shubhashish GoswamiAwarded (2025)
    Designing of Highly Efficient Deep Learning Framework for Predictive Data Analytics

  3. Baldivya MitraThesis Submitted
    Deep Learning-based Models for Automatic Target Recognition using SAR Imagery

  4. Manmohan PundirThesis Submitted
    Design of Authenticated Key Establishment Protocol using ECC

M.Tech. Supervision:

  1. Shalini Gupta – 2018
    Study and Development of Group Key Establishment Protocols

  2. Reshu Verma – 2019
    Design of Efficient Attribute-Based Key Establishment Protocols

  3. Anshita Gupta – 2020
    Variants of Multi-Authority Attribute-Based Encryption Schemes

  4. Nikhil Kumar Singh – 2022
    Secure and Accurate Recommender Systems

  5. Kamini – 2023
    Design of Role-Based Access Control in Fog Computing

Research Publications:

Journal Publications:

(A complete list of 14 indexed journal publications, including IEEE, Elsevier, Springer, and Taylor & Francis titles – available upon request or see attached appendix)

Conference Publications:

(19 papers presented in international conferences such as ICCCNT, ICACCI, COMS2, ICIoTCT, etc.)

Book Chapters:

  1. Privacy-Focused Blockchains – In: New Trends in Blockchain, CRC Press (2025)

  2. AI in Product Development – In: AI for Product Development, CRC Press (2024)

  3. Big Data and ML Applications – In: Machine Learning and Big Data, Wiley Online Library

Conference Organization:

  • Organizing Secretary, International Conference on Advances in Computing Applications, 27–28 Feb 2018

  • Organizing Secretary, International Conference on Robotics, Control and Computer Vision, 19–20 Feb 2022

Academic Interests:

  • Cryptography and Network Security

  • Advanced Computer Architecture

  • Theory of Computation

  • Computer Organization

  • Operating Systems

  • Data Structures

  • System Programming

  • Information Retrieval

  • Machine Learning

Achievements:

  • Qualified GATE in 2012, 2013, and 2015

  • Young Scientist Award (details to be added)

Publication:

“An Efficient Conference Key Agreement Protocol Suited for Resource Constrained Devices”
M. Pundir, A. Kumar, and Abhimanyu Kumar
Conference Name, Year.

 

 

Komal Bansal | Mathematical Modeling | Women Researcher Award

Dr. Komal Bansal | Mathematical Modeling | Women Researcher Award

Assistant professor at Chandigarh University, India

Dr. Komal Bansal is currently serving as an Assistant Professor of Mathematics at the Centre for Distance and Online Learning, Chandigarh University, Mohali. She earned her Ph.D. in Mathematics from BITS Pilani (2019–2024), with a thesis titled “Socioeconomic and Epidemiologic Modeling: A Fractional Differintegral Approach.” She holds an M.Sc. in Mathematics from Guru Jambheshwar University of Science & Technology (2018) and a B.Sc. from Maharshi Dayanand University (2016).

Profile:

🎓 Academic Journey:

  • Ph.D. in Mathematics (2019–2024)
    BITS Pilani, Rajasthan
    Thesis: Socioeconomic and Epidemiologic Modeling: A Fractional Differintegral Approach

  • M.Sc. Mathematics (2016–2018)
    Guru Jambheshwar University of Science & Technology, Hisar
    📈 Marks: 85.07%

  • B.Sc. (2013–2016)
    Government College Birohar, MDU Rohtak
    📊 Marks: 74.6%

🔬 Research Interests:

  • Fractional Calculus & Differential Equations

  • Delay Differential Equations

  • Mathematical Modeling in epidemiology, crime, social media, economics

  • Stability & Bifurcation Analysis

🏅 Achievements:

  • CSIR-UGC JRF/NET Qualified in Mathematical Sciences

  • 🏆 Best Paper Presentation – AMSE 2022

💻 Skills & Tools:

  • MATLAB | LaTeX

  • Expertise in Linear Algebra, Differential Equations, and Fractional Models

🌍 Conference & Workshop Participation:

  • Speaker/Presenter at top conferences: ICFC, ADENA, FPAS, AMSE

  • Attended numerous FDPs and workshops on fractional calculus, AI, optimization, and pedagogies

📊 Citation Metrics: 

  • Citations: 89

  • h-index: 6

  • i10-index: 3

Publication Top Notes:

  • Dynamics of crime transmission using fractional-order differential equations
    K. Bansal, S. Arora, K.S. Pritam, T. Mathur, S. Agarwal
    Fractals, 30(1), 2250012(1–16), 2022.

  • Analysis of illegal drug transmission model using fractional delay differential equations
    K. Bansal, T. Mathur, N.S.S. Singh, S. Agarwal
    AIMS Mathematics, 7(10), 18173–18193, 2022.

  • Fractional-order crime propagation model with non-linear transmission rate
    K. Bansal, T. Mathur, S. Agarwal
    Chaos, Solitons & Fractals, 169, 113321, 2023.

  • Impact of social media on academics: A fractional-order mathematical model
    K. Bansal, T. Mathur, T. Mathur, S. Agarwal, R.D. Sharma
    International Journal of Modelling and Simulation, 1–15, 2023.

  • The LADM approach to analyze the fractional-order model for smoking habits including memory
    K. Bansal, T. Mathur, S. Agarwal
    AIP Conference Proceedings, 2819(1), 040007, 2023.

  • Modeling crime transmission with fear effect: A fractional-order approach for effective crime control strategies
    K. Bansal, T. Mathur, S. Agarwal
    The Journal of Analysis, 1–21, 2024.

  • Impact of skills development on youth unemployment: A fractional-order mathematical model
    K. Bansal, T. Mathur
    Mathematical Methods in the Applied Sciences, 14286–14303, 2024.

  • LVIM approach to analyse the fractional-order model for childhood diseases
    N. Pareek, K. Bansal, A. Gupta, R. Mathur, T. Mathur, S. Agarwal
    Journal of Health Management, 26(4), 624–631, 2024.

  • Sensitivity analysis of fractional-order SVEIR lumpy skin disease model
    S. Rathee, Y. Narwal, K. Bansal, H. Emadifar
    Alexandria Engineering Journal, 119, 609–622, 2025.

  • Ordinary differential equations: Principles, techniques, and contemporary perspectives
    K. Bansal
    Notion Press. ISBN: 979-8896997016, 2025.

  • Analyzing unemployment dynamics: A fractional-order mathematical model
    S. Rathee, Y. Narwal, K. Bansal, T. Mathur, H. Emadifar
    Mathematical Methods in the Applied Sciences, 2025.

  • Fractional-order crime propagation model: A comparison between logistic and exponential growth
    K. Bansal, T. Mathur
    Ricerche di Matematica, 1–19, 2024.

 

Liu Ziguo | Robotics | Best Researcher Award

Mr. Liu Ziguo |  Robotics | Best Researcher Award

Chongqing University,  China

Ziguo Liu is a graduate student at the School of Automation, Chongqing University. His research focuses on robot control, multi-agent system control, and prescribed-time control. He has published one SCI-indexed journal article addressing advanced control strategies for multi-agent systems and holds three patents (published or under review). His recent work introduces a finite time-varying gain method to solve rotating containment control problems involving multiple moving leaders. Ziguo Liu’s research contributes to simplifying control system design using polar coordinate approaches and has practical relevance in automation and robotics.

Profile:

📚 Academic Background & Interests:

Ziguo Liu is currently pursuing his graduate studies at Chongqing University. His research focuses on cutting-edge topics in:

  • 🤖 Robot Control

  • 🤝 Multi-Agent System (MAS) Control

  • ⏱️ Prescribed-Time Control

🧪 Research and Innovation Highlights:

  • Published Journal Article (SCI):
    “Prescribed-Time Rotating Containment Control with Moving Leaders”
    🔗 Read Article

  • 🔬 Research Projects: 1 completed

  • 🧾 Patents: 3 (Published/Under Process)

  • 📘 Books: None

  • 🤝 Industry/Consultancy Projects: None

🚀 Key Contribution:

Ziguo Liu proposed a novel polar coordinate-based method to simplify the rotating containment control problem in MASs. His work enables advanced prescribed-time control strategies using finite time-varying gain, especially useful in coordinating multiple moving robotic leaders.

🌐 Additional Info:

  • 🧑‍🔬 No editorial roles yet

  • 🌍 No international collaborations listed

  • 🎓 No formal professional memberships mentioned yet

Publication:

Finite-gain based prescribed-time rotating containment control for second-order multi-agent systems
Journal of the Franklin Institute, May 2025
DOI: 10.1016/j.jfranklin.2025.107721
Authors: Ziguo Liu, Yujuan Wang, Qing Chen

Kaan Koçali | Health Professions | Best Researcher Award

Assist. Prof. Dr.  Kaan Koçali | Health Professions | Best Researcher Award

Istanbul Gelisim University, Turkey

Dr. Koçali holds a Ph.D. in Occupational Health and Safety from İstanbul Aydın University, with a research focus on the legal responsibilities of permanent supervisors in mining. He also earned a Master’s degree in Mining Engineering from İstanbul University and a non-thesis Master’s in Occupational Health and Safety from İstanbul Aydın University. Additionally, he holds three bachelor’s degrees in Mining Engineering, Business Administration, and Entrepreneurship. Dr. Koçali is actively involved in national and international research projects and is a member of professional organizations including TMMOB and MAG.

Profile:

Education:

  • PhD (Doctorate) in Occupational Health and Safety
    Istanbul Aydın University, Graduate School
    Dissertation Title (2021): Determining the Legal Responsibilities of Permanent Supervisors Working in Mines within the Scope of Laws No. 3213 and 6331 and Developing a Document Tracking-Control System Software
    Advisor: Prof. Reşit Erçetin
    Date: April 12, 2021

  • Master’s Degree (Non-Thesis) in Occupational Health and Safety
    Istanbul Aydın University, Institute of Science
    Date: May 31, 2016

  • Master’s Degree (Thesis) in Mining Engineering
    Istanbul University, Institute of Science
    Thesis Title (2016): Investigation of the Effects of Boron Compounds on Solar Panels
    Advisor: Prof. Dr. Şafak Gökhan Özkan
    Date: March 8, 2016

  • Bachelor’s Degree in Entrepreneurship (Full Scholarship)
    Istanbul Kültür University, Faculty of Economics and Administrative Sciences
    Date: January 29, 2025 (expected/graduation date)

  • Bachelor’s Degree in Business Administration (Open Education)
    Anadolu University, Faculty of Business Administration
    Date: February 22, 2022

  • Bachelor’s Degree in Mining Engineering
    Istanbul University, Faculty of Engineering
    Date: June 24, 2011

Academic Positions:

  • Assistant Professor
    Istanbul Gelişim University / Istanbul Gelişim Vocational School / Department of Property Protection and Security / Occupational Health and Safety Program (Full Scholarship)
    Since August 31, 2021

  • Assistant Professor (Erasmus+ Staff Mobility for Training)
    SMART LEAP – EDUCATION RESEARCH CONSULTANCY GmbH / Düsseldorf, Germany
    May 19–23, 2024

  • Assistant Professor (Erasmus+ Staff Mobility for Training)
    Megunaroden Slavjanski Universitet / Faculty of Safety Engineering / Safety at Work
    Skopje, North Macedonia
    May 5–10, 2024

Project Roles:

  • Project Manager for multiple national projects including:

    • Mining Sector – Mining Company Guide and Advertisement Site (İAÜ Tekmer) (2020–2021)

    • Circular Cutting Water Jet Drilling Machine (KOSGEB R&D and Innovation Support Program) (2012–2015)

    • Mining Sector Project Preparation and Production Performance Tracking System Development (KOSGEB) (2015–2017)

    • Consultancy projects for mining sector and others with TÜBİTAK and EU funding

  • Researcher in national TÜBİTAK projects on occupational health and safety anthropometric data and occupational accident profiles

  • Advisor in EU-funded project on Occupational Health and Safety for Mining Workers (2021)

Administrative Positions:

  • Faculty Board Member, İstanbul Gelişim University (since 2024)

  • Erasmus Coordinator, Vocational School of İstanbul Gelişim University (2024)

  • Member of Education and Training Committee (2024)

  • Chair of Performance Evaluation Committee (2024)

  • Alumni and Career Representative (2024)

  • Program Chair, Occupational Health and Safety Program (full scholarship) (2024)

  • Department Head, Property Protection and Security Department (2024)

  • Member of Internship Committee and Quality Board

Professional Memberships:

  • MAG (Neighborhood Disaster Volunteers Association), Member since 2022

  • TMMOB Mining Engineers Chamber, Member since 2007

Awards:

  • Academic Research Impact Award, SHEN Conferences, India (2024)

  • Academic Performance Award (3rd place), İstanbul Gelişim University (2024)

  • Best Researcher Awards in Cybersecurity, Science, Health, and Engineering, India (2022–2024)

  • Project Award, EURIE Eurasia Higher Education (2020)

  • 2nd place in Mining Engineering Department, İstanbul University-Cerrahpaşa (2011)

Courses Taught (2023–2025):

  • Risk Management (Undergraduate, Turkish, Fall semester)

  • Occupational Safety Training Methods (Undergraduate, Turkish, Spring semester)

  • Sectoral Occupational Health and Safety Practices (Undergraduate, Turkish, Fall semester)

  • Fire and Fire Prevention (Undergraduate, Turkish, Fall semester)

  • Occupational Health and Safety Legislation II (Undergraduate, Turkish, Spring semester)

  • Biological Risk Factors (Undergraduate, Turkish, Spring semester)

  • Integrated Management Systems (Undergraduate, Turkish, Spring semester)

  • Occupational Health and Safety in Mining (Undergraduate, Turkish, Spring semester)

Citation Metrics:

  • Total Citations: 166

  • Citations Since 2020: 149

  • h-index: 7

  • i10-index: 5

Publication Top Notes:

  • Sosyal Güvenlik Kurumu’nun 2012-2020 Yılları Arası İş Kazaları Göstergelerinin Standardizasyonu
    Akademik Yaklaşımlar Dergisi, 12(2), 302-327, 2021. (46 citations)

  • Calculation of Occupational Accident Indicators of Türkiye
    INSAC Social and Education Sciences, 222-250, 2021. (17 citations)

  • Açık Ocak Maden İşletmelerinde İşçi Anketleri ile İş Sağlığı ve Güvenliği Kültürü ve Uygulamasının Araştırılması
    Bilimsel Madencilik Dergisi, 57(1), 15-24, 2018. (14 citations)

  • Maden Kazalarında Sorumluluklar ve Kusur Oranları
    Nobel Yayın Kitapevi, 2021. (13 citations)

  • Şırnak Kömür Madeni Kazası Işığında Kömür Madenciliğindeki Uygunsuzluklar Hakkında Öneriler
    Türkiye 21.Uluslararası Kömür Kongresi “ICCET 2018” Bildiriler Kitabı, 387-399, 2018. (10 citations)

  • How to Perform a Risk Assessment Step by Step for Occupational Health and Safety
    EURAS Journal of Engineering and Applied Sciences, 2(1), 1-19, 2022. (8 citations)

  • Legal Regulations Regarding Liabilities of Workers and Employers Related to Occupational Health and Safety in Mining
    (with R. Erçetin) 3. Ulusal Başkent Disiplinler Arası Bilimsel Çalışmalar Kongresi, 357-358, 2021. (7 citations)

  • Madencilikte Proje Şirketlerinin Önemi
    Maden Ocak Teknolojileri Dergisi, 82-86, 2013. (6 citations)

  • 18-65 Yaş Arası Kişilerin Antropometrik Verilerinin Belirlenmesi Üzerine Bir Alan Araştırması: Yükseköğretim Kurumu Uygulaması
    (with S. Çalış, Ç. Çalış, B.Y. Büyükakıncı) Ergonomi, 4(3), 147-161, 2021. (5 citations)

  • Türkiye’de 2017 Yılında Yaşanan Kömür Madeni Faciası Sonrası Sektörün İş Sağlığı ve Güvenliği Açısından İrdelenmesi
    The Journal of Academic Social Science, 95(95), 486-496, 2019. (5 citations)

  • Bölgesel Kalkınma Alanlarının İş Sağlığı ve Güvenliği Performans Analizi
    İstanbul Aydın Üniversitesi Sosyal Bilimler Dergisi, 14(3), 381-405, 2022. (3 citations)

  • Yetkilendirilmiş Tüzel Kişiler (YTK) Yönetmeliği Işığında Madencilikte Proje Şirketlerinin Önemi
    The Journal of Academic Social Science, 66(66), 564-570, 2019. (3 citations)

  • Meslek Birliklerinin Tek Çatı Altında Olmasına Pragmatik Bir Bakış
    (with L. Akgül) Legal FSHD. C, 3, 11, 2017. (3 citations)

  • Madencilik Sektörüne Yönelik İşçi Anketleri ile İSG Kültürü ve Uygulamasının Araştırılması
    İstanbul Aydın Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Bitirme Tezi, 2016. (3 citations)

  • Bir Maden Yatağı İçin Uygun Yeraltı Üretim Yöntemi Seçimi ve Projelendirilmesi
    İstanbul Üniversitesi, Mühendislik Fakültesi, 2011. (3 citations)

  • Occupational Disease Profile of Turkey: Analysis by Economic Activities and Cities
    Journal of Social, Humanities and Administrative Sciences, 9(68), 3448-3459, 2023. (2 citations)

  • The Effects of Daylight Saving Time (DST) Transition Cancelation on Work Accidents of Turkey
    International Journal of Occupational Safety and Ergonomics, 29(4), 1542-1551, 2023. (2 citations)

  • 6331 Sayılı İş Sağlığı ve Güvenliği Kanunu Sonrası Lisansüstü Tezlerin Değerlendirilmesi
    Hastane Öncesi Dergisi, 7(1), 63-80, 2022. (2 citations)

  • Perspective on Child Labor Situation in Terms of Occupational Health and Safety: The Case of Turkey
    Journal of Human and Social Sciences, 5(2), 126-151, 2022. (2 citations)

  • Fault Detection In Mining Work Accidents
    (with R. Erçetin) 6. Uluslararası Bilimsel Araştırmalar Kongresi, 2021. (2 citations)