Mrs. M. Rajini – Machine Learning and IoT – Best Researcher Award

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Mrs. M. Rajini - Machine Learning and IoT - Best Researcher Award

Government Degree College - India 

AUTHOR PROFILE 

GOOGLE SCHOLAR 

EARLY ACADEMIC PURSUITS 🎓

M. Rajini embarked on her academic journey in the field of Computer Science, where she pursued a Bachelor’s degree and further advanced her education with a Master of Technology (M.Tech). Her strong academic foundation laid the groundwork for her Ph.D. studies, setting the stage for a career dedicated to research and teaching in the field of technology. Rajini has consistently demonstrated a passion for education, reflected in her accomplishments such as GATE (2011), AP-SET (2016), AP DL (2017), and AP RCET (2020), showcasing her deep understanding of core computing principles.

PROFESSIONAL ENDEAVORS 💼

Currently, M. Rajini serves as a Lecturer in the Department of Computer Science at GDC Ravulapalem, Andhra Pradesh, where she has been contributing to the field of education since 2018. With over 6 years in government teaching service and a total of 14 years in academia, Rajini has had a significant impact on students and the teaching community. Her earlier experience in a private engineering college has further enhanced her expertise in delivering high-quality education and fostering a learning environment that encourages curiosity and critical thinking.

RESEARCH FOCUS & CONTRIBUTIONS 🔬

Rajini has an active interest in research, with a primary focus on areas within Computer Science that align with current technological advancements. Her research publications highlight her dedication to advancing the field, particularly through her studies in data science, network security, and XML, with a notable contribution to the study of various technical tools and Machine Learning and IoT methodologies. Through her research, Rajini continues to explore new ways to integrate cutting-edge technologies into her teaching curriculum, fostering innovation within her academic work.

ACCOLADES AND RECOGNITION 🏆

M. Rajini’s academic excellence and dedication have been widely recognized. Her qualifications, including achievements such as GATE (2011), AP-SET (2016), and AP RCET (2020), stand as a Machine Learning and IoT testament to her proficiency and hard work in the field of Computer Science. Her consistent engagement in various workshops, FDPs, and online certifications demonstrates her commitment to lifelong learning and enhancing her pedagogical skills. Rajini has also been invited as a guest lecturer for several esteemed institutions, further cementing her recognition as a thought leader in her area of expertise.

IMPACT AND INFLUENCE 🌍

Rajini’s influence extends beyond her immediate academic environment. By delivering lectures on topics such as XML, Network Security, and Data Science, she has impacted students across Machine Learning and IoT multiple institutions, enhancing their knowledge base and interest in these crucial fields. Her ability to bridge the gap between theory and practical applications ensures her students are well-equipped for the challenges in the ever-evolving tech landscape. Rajini’s role as a mentor to her students, coupled with her participation in national-level events, showcases her growing influence in academia.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking ahead, Rajini aims to continue contributing to the academic and research communities by furthering her studies in emerging areas such as artificial intelligence, machine learning, and data science. Her legacy lies in her unwavering commitment to providing quality education, fostering innovation, and supporting the growth of students and peers. With her passion for both research and teaching, Rajini is poised to leave a lasting impact on the field of Computer Science, paving the way for future generations to excel in the digital age.

NOTABLE PUBLICATIONS 

  • Title: IoT and Co-Operative Communication Enabled Healthcare Devices-A Review
    Author(s): P Voola
    Journal: 2022 3rd International Conference on Electronics and Sustainable … (Proceedings)
  • Title: Intelligent Control System for Resistance Spot Welding System
    Author(s): RS Subbanna, M Rajini
    Journal: Management Journal of Instrumentation and Control Engineering (Manag. J. Instrum. Control Eng)

Prof. Dr. Mehdi Nasr Esfahani – Molecular Biology and Biotechnology – Best Researcher Award

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Prof. Dr. Mehdi Nasr Esfahani - Molecular Biology and Biotechnology - Best Researcher Award

Agricultural Research, Education and Extension Organization (AREEO) - Iran

AUTHOR PROFILE 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Prof. Dr. Mehdi Nasr Esfahani's academic journey began with his passion for agriculture and molecular plant pathology. Born in Isfahan, Iran, he pursued a Ph.D. in Agriculture, specializing in Molecular Plant Pathology and Biotechnology. His academic foundation laid the groundwork for his future endeavors in plant science, where he developed an immense expertise in crop protection and molecular biology. His studies became the cornerstone for his distinguished career in agricultural research and education.

PROFESSIONAL ENDEAVORS 💼

Dr. Nasr Esfahani has made significant strides in both academic and executive roles. As a full professor at the Research and Education Center for Agriculture and Natural Resources in Isfahan, he has demonstrated exemplary leadership in advancing agricultural science. Throughout his career, he has led over 80 research projects at provincial and national levels, including his role as the head of the Isfahan Agriculture and Natural Resources Research Publications Council. Additionally, his position as the head of various departments, such as Plant Protection Research and the Isfahan University of Science and Applied Sciences, underscores his commitment to fostering growth in the agricultural sector.

CONTRIBUTIONS AND RESEARCH FOCUS 🌱

Dr. Nasr Esfahani’s research has significantly impacted the field of agriculture, particularly in plant pathology and biotechnology. His scientific work includes the publication of over 239 valid domestic and international papers, with numerous contributions in top-tier journals. His research focuses on agricultural biotechnology, plant diseases, and enhancing crop protection Molecular Biology and Biotechnology systems, with particular emphasis on improving plant resistance. His work on the development of novel approaches to tackling plant diseases has positioned him as a key figure in the global agricultural research community.

ACCOLADES AND RECOGNITION 🏆

Prof. Dr. Nasr Esfahani has received multiple prestigious accolades throughout his career. Notably, he was among the top 2% most cited scientists globally in 2022. He has been recognized as the Top Iranian National Researcher multiple times, from 1998 to 2015. Additionally, his contributions to Isfahan’s agricultural research community have earned him recognition as the top Molecular Biology and Biotechnology researcher for various years. His substantial H-index of 22 and the publication of 12% of his papers in the world’s top 10% journals further solidify his place as a leading researcher in his field.

IMPACT AND INFLUENCE 🌍

Dr. Nasr Esfahani’s work extends beyond the academic realm, with a profound influence on both local and international agriculture. His research has played a pivotal role in shaping plant protection and biotechnology strategies, influencing national agricultural policies and research agendas. His active participation in international organizations such as the International Molecular Biology and Biotechnology Association of Plant Diseases and the African-Asian Nematology Association demonstrates his commitment to global collaboration. Additionally, his role in supervising over 60 master's and doctorate theses has contributed to the development of future generations of researchers and professionals in the field.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As a dedicated educator and researcher, Prof. Dr. Nasr Esfahani has built a legacy that continues to inspire advancements in agricultural biotechnology and plant pathology. His supervision of numerous graduate theses and the publication of seven specialized books and ten extension booklets reflect his commitment to knowledge dissemination. Moving forward, he is expected to continue influencing agricultural research, particularly in the areas of crop disease management, biotechnology, and sustainable agriculture practices. His leadership in both academic and executive roles promises ongoing contributions to the field of agriculture, ensuring the growth and evolution of research in this vital area.

NOTABLE PUBLICATIONS 

  • Title: Assessing genetic diversity and population structure of Iranian melons (Cucumis melo) collection using primer pair markers in association with resistance to Fusarium wilt
    Author(s): Sadeghpoor, Neda; Gharneh, Hosseinali Asadi; Nasr-Esfahani, Mehdi; Khankahdani, Hamed Hassanzadeh; Golabadi, Maryam
    Journal: Functional Plant Biology
    Year: 2023
    DOI: 10.1071/FP22131
  • Title: Biochemical defense mechanism associated with host-specific disease resistance pathways against Rhizoctonia solani AG3-PT potatoes canker disease
    Author(s): Soheili-Moghaddam, Bita; Nasr-Esfahani, Mehdi; Mousanejad, Sedigheh; Hassanzadeh-Khankahdani, Hamed; Karbalaie-Khiyavie, Houssein
    Journal: Planta
    Year: 2023
    DOI: 10.1007/S00425-022-04039-2
  • Title: Transcriptome-based analysis of resistance mechanisms to Bipolaris sorokiniana, a common wheat root-rot disease
    Author(s): Qalavand, F.; Nasr-Esfahani, M.; Vatandoost, J.; Azarm, D. A.
    Journal: Plant Biology
    Year: 2023
    DOI: 10.1111/PLB.13470
  • Title: An IPM plan for early blight disease of potato Alternaria solani sorauer and A. alternata (Fries.) Keissler
    Author(s): Nasr-Esfahani, Mehdi
    Journal: Archives of Phytopathology and Plant Protection
    Year: 2022
    DOI: 10.1080/03235408.2018.1489600
  • Title: Antioxidant enzymes associated with resistance to Fusarium oxysporum f. sp. melonis race 1.2 in melon
    Author(s): Sadeghpour, Neda; Asadi-Gharneh, Hossein Ali; Nasr-Esfahani, Mehdi; Khankahdani, Hamed Hassanzadeh; Golabadi, Maryam
    Journal: Physiological and Molecular Plant Pathology
    Year: 2022
    DOI: 10.1016/J.PMPP.2022.101880

Dr. Debmalya Bhunia – Chemical Biology – Best Researcher Award

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Dr. Debmalya Bhunia - Chemical Biology - Best Researcher Award

Cold Spring Harbor Laboratory - United States

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

DEBMALYA BHUNIA'S academic journey began with a strong foundation in chemistry, which paved the way for his outstanding contributions to the field of organic and medicinal chemistry. He completed his doctoral research at the CSIR-Indian Institute of Chemical Biology, Kolkata, India, where he earned his degree from the University of Calcutta. During his studies, Debmalya focused on designing and synthesizing organelle-specific peptides, small molecules, and lipids for targeted drug delivery systems. His work involved advancing drug delivery mechanisms, particularly using liposomal lipopeptides for tumor inhibition. This early academic pursuit set the stage for a career dedicated to innovative biomedical research.

PROFESSIONAL ENDEAVORS 🌍

After his doctoral work, Debmalya honed his expertise further by working at various prestigious institutions. He served as a Post-Doctoral Research Fellow at The Ohio State University, where his research focused on the design and synthesis of noncanonical nucleobases and novel peptide nucleic acids (PNAs). His work in the Chemistry and Biochemistry Department involved developing cell-based assays for PNA-DNA/RNA interactions, which are crucial for understanding genetic material manipulation. Debmalya then moved to Cold Spring Harbor Laboratory, New York, where he made significant contributions in chemical biology and molecular biology, particularly in DNA/RNA mutagenesis, DNA preservation, and the design of cancer vaccines using innovative peptide nucleic acid strategies.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Debmalya’s research focuses on the intersection of chemical biology, DNA/RNA sequence manipulation, and therapeutic development. He has developed new methodologies for DNA preservation and translation inhibition, contributing to a deeper understanding of gene expression regulation. His expertise in designing bifacial PNAs and utilizing click chemistry for DNA Chemical Biology coupling has opened new avenues for genetic research and therapy development. His recent work includes exploring potential applications of peptide nucleic acids in cancer vaccine development, positioning him at the forefront of genetic engineering and molecular therapeutics.

ACCREDITATION AND RECOGNITION 🏅

Debmalya’s exceptional research and innovative contributions have been recognized by his peers in academia and industry. His work on peptide-based drug delivery systems and cancer Chemical Biology vaccines has garnered attention for its potential in translational medicine. At Cold Spring Harbor Laboratory, he was promoted to Senior Fellow in January 2025, underscoring his commitment and expertise in advancing biomedical sciences. His postdoctoral fellowships at The Ohio State University and Cold Spring Harbor Laboratory, coupled with his early career accomplishments, reflect his standing as a prominent figure in chemical biology and molecular medicine.

IMPACT AND INFLUENCE 🌐

Debmalya’s work has significantly influenced the fields of drug delivery, peptide chemistry, and molecular therapeutics. His innovative research on peptide nucleic acids and DNA/RNA Chemical Biology interactions holds great promise for improving our understanding of genetic diseases and developing targeted therapies. His pioneering efforts in cancer vaccine design using peptide nucleic acids demonstrate his ability to bridge the gap between basic chemistry and clinical applications. Debmalya’s impact is not limited to academia but extends to biotechnology and pharmaceutical industries, where his findings could lead to the development of novel treatments.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

As Debmalya advances in his career, his research is poised to leave a lasting legacy in the realms of chemical biology, therapeutic development, and molecular engineering. His ongoing work at Cold Spring Harbor Laboratory promises to yield even more groundbreaking discoveries, particularly in the area of cancer therapy and genetic manipulation. His future contributions will likely continue to shape the future of personalized medicine, gene therapy, and targeted drug delivery, making him a key figure in the evolution of modern biomedical sciences.

NOTABLE PUBLICATIONS 

  • Title: Peptide nucleic acids: Recent advancements and future opportunities in biomedical applications
    Authors: Achinta Sannigrahi; Nayan De; Debmalya Bhunia; Jhuma Bhadra
    Journal: Bioorganic Chemistry (2025)
    DOI: 10.1016/j.bioorg.2025.108146
  • Title: Modular synthesis of functional libraries by accelerated SuFEx click chemistry
    Authors: Joshua Homer; Rebecca A. Koelln; Andrew Barrow; Timothy Gialelis; Zlata Boiarska; Nikita Steinohrt; Erinna Lee; Wen-Hsuan Yang; Robert Johnson; Taemoon Chung et al.
    Journal: Chemical Science (2024)
    DOI: 10.1039/d3sc05729a
  • Title: Designed hybrid anticancer nuclear-localized peptide inhibits aggressive cancer cell proliferation
    Authors: Prasenjit Mondal; Saswat Mohapatra; Debmalya Bhunia; Prabir Kumar Gharai; Nabanita Mukherjee; Varsha Gupta; Satyajit Ghosh; Surajit Ghosh
    Journal: RSC Medicinal Chemistry (2022)
    DOI: 10.1039/D1MD00324K
  • Title: Synthesis of bifacial Peptide Nucleic Acids with diketopiperazine backbones
    Authors: Not specified
    Journal: Synlett (2022-03-18)
    DOI: 10.1055/a-1802-6873
  • Title: A Small Molecule with Bridged Carbonyl and Tri‐fluoro‐aceto‐phenone Groups Impedes Microtubule Dynamics and Subsequently Triggers Cancer Cell Apoptosis
    Authors: Not specified
    Journal: ChemMedChem (2021-09-06)
    DOI: 10.1002/cmdc.202100192

Assoc. Prof. Dr Mumtaz Karatas – Healthcare 4.0 – Best Researcher Award

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Assoc. Prof. Dr Mumtaz Karatas - Healthcare 4.0 - Best Researcher Award

Wright State University - United States

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Mumtaz Karatas began his academic journey with a BSc in Industrial Engineering from the Turkish Naval Academy in Istanbul, Turkey, where he laid the foundation for his passion in operations research and optimization. His drive to understand complex systems led him to pursue an MSc in Industrial and Operations Engineering at the University of Michigan, Ann Arbor. Afterward, he continued his academic pursuit by earning a Ph.D. in Industrial Engineering from Kocaeli University in Turkey. During his doctoral studies, he developed a solid understanding of operations research and optimization techniques, which would later shape his career.

PROFESSIONAL ENDEAVORS 💼

Mumtaz’s professional career spans over two decades, beginning as an officer in the Turkish Naval Forces before moving into academia. He has held several key roles, including Assistant Professor and Associate Professor at the Naval Academy’s Department of Industrial Engineering, and as Director of the Modeling & Simulation Department at the Navy Research Center in Istanbul. His current position as Associate Professor at Wright State University in Dayton, OH, USA, reflects his growing influence in the field. His role in multiple universities worldwide, including teaching at Sabanci University, Piri Reis University, and others, highlights his versatility and dedication to advancing knowledge.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Mumtaz’s research is centered around operations research, optimization, and machine learning, with a particular focus on integer programming, multi-objective optimization, robust optimization, and heuristic algorithms. He is also a leading figure in integrating machine learning techniques with optimization methods. His work in predictive modeling, decision support Healthcare 4.0 systems, and big data analytics has profound implications across various sectors, including supply chain logistics, transportation planning, and energy storage. His contributions also extend to emergency and disaster response optimization, where he has made significant strides in real-time decision-making models.

ACCOLADES AND RECOGNITION 🏆

Mumtaz’s expertise in operations research has earned him widespread recognition, including being featured in the Top 2% Researchers List. His work has been acknowledged through various Healthcare 4.0 awards and prestigious fellowships, including his time as a PhD fellow at the US Naval Postgraduate School, where he collaborated on critical operations research projects. His contributions to academia and research have been recognized by multiple institutions, which has made him a respected figure in the industrial engineering community.

IMPACT AND INFLUENCE 🌍

Mumtaz’s impact is not confined to the classroom. His research directly influences operations research, logistics, transportation, and supply chain optimization practices globally. As a Healthcare 4.0 consultant for military and industrial organizations, his work on multi-objective optimization and routing problems has helped shape real-world solutions. His academic leadership, as Director of various divisions at the Naval Academy and currently at Wright State University, continues to shape future generations of engineers. Mumtaz’s work has had a lasting influence on optimizing large-scale systems, helping companies and governments improve their decision-making processes in crisis situations.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Mumtaz Karatas’s career is a testament to the enduring relevance of operations research in solving modern-day challenges. His future contributions promise to extend his groundbreaking work in data-driven optimization and multi-objective decision-making. As the Program Director for the Industrial Engineering Division at Wright State University, he is poised to continue influencing the next wave of researchers and practitioners. His legacy will undoubtedly include advancing optimization techniques in global logistics, supply chains, and disaster response, leaving a lasting mark on both academia and industry.

NOTABLE PUBLICATIONS 

  • Title: Location and routing of armed Unmanned Aerial Vehicles and carrier platforms against mobile targets
    Authors: Ertan Yakıcı, Mumtaz Karatas, Levent Eriskin, Engin Cicek
    Journal: Computers & Operations Research, 2024-09
  • Title: A robust multi-objective model for healthcare resource management and location planning during pandemics
    Authors: Levent Eriskin, Mumtaz Karatas, Yu-Jun Zheng
    Journal: Annals of Operations Research, 2024-04
  • Title: A collaborative decision support framework for sustainable cargo composition in container shipping services
    Authors: Mevlut Savas Bilican, Çağatay Iris, Mumtaz Karatas
    Journal: Annals of Operations Research, 2024-02-03
  • Title: Optimization of Air Defense System Deployment Against Reconnaissance Drone Swarms
    Authors: Li, N.; Su, Z.; Ling, H.; Karatas, M.; Zheng, Y.
    Journal: Complex System Modeling and Simulation, 2023
  • Title: Data analytics during pandemics: a transportation and location planning perspective
    Authors: Elif Bozkaya, Levent Eriskin, Mumtaz Karatas
    Journal: Annals of Operations Research, 2023-09

Mr. Sergio Biancotto – Radiation Protection – Best Researcher Award

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Mr. Sergio Biancotto - Radiation Protection - Best Researcher Award

Private Consultant - Italy

AUTHOR PROFILE 

SCOPUS 

🎓 EARLY ACADEMIC PURSUITS

Sergio Biancotto's academic journey laid a strong foundation for his illustrious career in information technology. Born on March 19, 1969, in Italy, he pursued a degree in computer science, which honed his technical acumen and prepared him for the dynamic field of IT. His passion for technology was evident from his early years, driving him to excel in his studies and develop a keen interest in mainframe systems and scheduling software.

💼 PROFESSIONAL ENDEAVORS

Sergio’s professional journey is marked by his specialization in IBM Tivoli Workload Scheduler (TWS) for z/OS. Since May 2022, he has been working as a TWS Software Specialist at HCL Software in Rome, Italy. His role involves consulting for various customers in the financial and industrial sectors, providing expert analysis of scheduling networks, and implementing new application networks in TWS for z/OS. Before joining HCL, Sergio held a similar position at MODIS Italia S.r.l. from 2016 to 2022, where he executed multiple complex software migrations and managed scheduling networks for financial sector clients.

🔍 CONTRIBUTIONS AND RESEARCH FOCUS

Sergio has contributed significantly to the field of IT by focusing on the optimization of workload scheduling environments. His expertise lies in analyzing and solving problems related to Radiation Protection scheduling networks, implementing efficient systems in TWS for z/OS, and leading software migrations from other scheduling systems like CA-Autosys and CA-7. His work ensures seamless operations for his clients, especially in the financial sector, where precise scheduling is crucial.

🏆 ACCOLADES AND RECOGNITION

Throughout his career, Sergio has been recognized for his proficiency in managing and improving TWS environments. His ability to handle complex incidents and provide innovative solutions Radiation Protection has earned him respect and admiration from colleagues and clients alike. His contributions to major projects, such as data migrations and system optimizations, highlight his dedication to excellence in his field.

🌍 IMPACT AND INFLUENCE

Sergio’s impact extends beyond individual projects, as his work significantly enhances the operational efficiency of his clients' IT systems. By ensuring the smooth transition from older systems to TWS for z/OS, he not only improves the performance of these systems but also influences industry best practices in workload scheduling. His insights have helped shape the strategies of Radiation Protection numerous financial and industrial sector clients.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

As a seasoned expert in TWS for z/OS, Sergio continues to build on his legacy by mentoring new professionals in the field and driving advancements in scheduling technology. His ongoing projects and future endeavors are set to further solidify his position as a leading specialist in the IT industry. His vision for integrating emerging technologies into traditional systems promises to pave the way for future innovations.

NOTABLE PUBLICATIONS 

  • Title: Postulated nuclear power plant accident in the Po valley (Italy) and application of the ICRP publication 146 recommendations
    Authors: Biancotto, S., D'Arienzo, M.
    Journal: Radiation Physics and Chemistry, 2025, 229, 112490
  • Title: First responder safety in the event of a dirty bomb detonation in urban environment
    Authors: Biancotto, S., Malizia, A., Contessa, G.M., D'Arienzo, M., Solbiati, M.M.
    Journal: International Journal of Safety and Security Engineering, 2021, 11(4), pp. 369–375
  • Title: The hotspot code as a tool to improve risk analysis during emergencies: Predicting i-131 and cs-137 dispersion in the Fukushima nuclear accident
    Authors: Malizia, A., Chierici, A., Biancotto, S., Manenti, G., Marturano, F.
    Journal: International Journal of Safety and Security Engineering, 2021, 11(4), pp. 437–486
  • Title: Analysis of a dirty bomb attack in a large metropolitan area: Simulate the dispersion of radioactive materials
    Authors: Biancotto, S., Malizia, A., Pinto, M., Coniglio, A., D'Arienzo, M.
    Journal: Journal of Instrumentation, 2020, 15(2), P02019

Dr. Radosław Kycia – Machine Learning – Excellence in Research

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Dr. Radosław Kycia - Machine Learning - Excellence in Research

Cracow University of Technology - Poland

AUTHOR PROFILE 

SCOPUS 

ORCID 

🎓 EARLY ACADEMIC PURSUITS

Radosław Antoni Kycia's academic journey began with a Bachelor's degree in Computer Science from the Jagiellonian University, Kraków, in 2010. His passion for theoretical physics led him to earn a Master's degree in 2008 and a PhD in Theoretical Physics from the same university in 2012. His thirst for knowledge didn't stop there; he pursued another PhD in Mathematics (Geometry) at Masaryk University, Brno, Czech Republic, in 2024, along with an Executive MBA from Cracow University of Technology and Central Connecticut State University.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Dr. Kycia's professional career took off as a Software Engineer at Motorola Solutions in Kraków, where he honed his programming skills. He soon transitioned into academia, starting as an Assistant at the Tadeusz Kościuszko Cracow University of Technology. He served as a Postdoctoral Fellow at the University of Warsaw before returning to the Cracow University of Technology, where he currently holds the position of Head of the Computer Science Department.

🔍 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Kycia's research focuses on the intersection of geometry and physics. His work includes the geometric decomposition method in solving equations related to physics and geometry. His Machine Learning contributions to theoretical physics and mathematics are well-recognized in academic circles, especially for his innovative approaches to complex problems in these fields.

🏆 ACCOLADES AND RECOGNITION

Dr. Kycia's excellence in research and education has earned him numerous awards. In 2024, he received the Rector’s award for the best research performance and the best educational book at Machine Learning the Cracow University of Technology. Additionally, he was honored with the LIDER award for his outstanding research performance the same year. His earlier achievements include the prestigious KNOW Fellowship stipend at Warsaw University in 2013.

🌍 IMPACT AND INFLUENCE

Through his teaching and research, Dr. Kycia has significantly impacted both the academic community and his students. His innovative research methods have advanced the understanding of Machine Learning theoretical physics and geometry. As a department head, he has influenced the curriculum and mentoring strategies, fostering a new generation of computer science and mathematics professionals.

📚 LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, Dr. Kycia aims to continue his groundbreaking research in geometry and theoretical physics. His dedication to education and research will undoubtedly leave a lasting legacy in the academic world, inspiring future researchers to explore the fascinating interplay between mathematics and physics.

NOTABLE  PUBLICATIONS  

  • Title: Fully Tensorial Approach to Hypercomplex Neural Networks
    Authors: Niemczynowicz, Agnieszka; Kycia, Radoslaw Antoni
    Journal: ArXiv
    Year: 2024
    WOSUID: PPRN:90654638
  • Title: Hypercomplex Neural Network in Time Series Forecasting of Stock Data
    Authors: Kycia, Radoslaw; Niemczynowicz, Agnieszka
    Journal: ArXiv
    Year: 2024
    WOSUID: PPRN:87078157
  • Title: Some Remarks on the Inverse Problem in the Variational Calculus Within the Functional and Antiexact Differential Forms Approach
    Authors: Radosław Kycia; Victor Bovdi; Anatolij Prykarpatski
    Journal: Preprint
    Year: 2024
    DOI: 10.20944/preprints202412.1318.v1
  • Title: Application of Calculus to Classic Mechanics
    Authors: Vladimir Mityushev; Radoslaw Kycia; Wojciech Nawalaniec; Natalia Rylko
    Journal: Book Chapter
    Year: 2024
    DOI: 10.1201/9781032684284-3
  • Title: Asymptotic Methods in Composites
    Authors: Vladimir Mityushev; Radoslaw Kycia; Wojciech Nawalaniec; Natalia Rylko
    Journal: Book Chapter
    Year: 2024
    DOI: 10.1201/9781032684284-9

Dr. Jhuma Bhadra – Chemical Biology – Best Researcher Award

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Dr. Jhuma Bhadra - Chemical Biology - Best Researcher Award

Sarojini Naidu College for Women - India

AUTHOR PROFILE 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Jhuma Bhadra embarked on her academic journey with a keen interest in chemistry, which eventually led her to earn a Ph.D. in the subject. Her formative years were marked by rigorous academic training, setting a strong foundation in the fundamental and applied aspects of chemistry. Her early studies laid the groundwork for her future research endeavors in nucleolipid synthesis and antimicrobial therapeutics, areas that have profound implications in biomedical sciences.

PROFESSIONAL ENDEAVORS 💼

Jhuma’s professional career commenced with impactful postdoctoral fellowships at prestigious institutions like Boston College and Clemson University. At Boston College, she explored bacteriophage modification using Boron warheads, while her tenure at Clemson University focused on designing and synthesizing aminoglycoside and Hoechst-conjugated phosphorodiamidate morpholino oligomers (PMOs) to study their antibacterial activity. Her academic career progressed as she joined Kurseong College as an Assistant Professor, where she continued to contribute to the field of chemistry. She is currently an Assistant Professor at Sarojini Naidu College for Women, where she furthers her research and teaching responsibilities.

CONTRIBUTIONS AND RESEARCH FOCUS 🤞

Jhuma Bhadra’s research is centered around the synthesis and biomedical application of nucleolipids. Her notable work includes the design of novel aminoglycoside-nucleolipid conjugates aimed at developing potential antimicrobial therapeutics. Her research is not just confined to theoretical aspects but extends to practical applications that have the potential to combat Chemical Biology antibiotic resistance, a critical global health challenge. Her dedication to advancing the field is evident in her role as a supervisor to two Junior Research Fellows, guiding the next generation of researchers.

ACCOLADES AND RECOGNITION 🏆

Jhuma’s scholarly contributions have been recognized by the scientific community, notably through the receipt of a substantial grant from the Science and Engineering Research Board (SERB-DST) under the EMEQ scheme. The Rs. 48.9 lakh funding supports her groundbreaking project on antimicrobial therapeutics, underscoring the importance and potential impact of her work. Chemical Biology This recognition highlights her role as a leading researcher in her field.

IMPACT AND INFLUENCE 🌍

Jhuma Bhadra’s research impacts both the scientific community and broader society. Her work on nucleolipids and antimicrobial therapeutics addresses pressing health issues, contributing to the development of new strategies to combat bacterial infections. By integrating her research findings into her teaching, she influences and inspires her students, fostering a new wave of Chemical Biology scientific inquiry and innovation in chemistry.

LEGACY AND FUTURE CONTRIBUTIONS 💡

Jhuma’s legacy in the field of chemistry is characterized by her innovative approach to research and her commitment to education. As she continues her work at Sarojini Naidu College for Women, her contributions are poised to expand the frontiers of nucleolipid research and antimicrobial therapies. Her future endeavors will likely include further exploration of biomedical applications, continuing to bridge the gap between fundamental research and practical healthcare solutions. Jhuma Bhadra’s dedication ensures her lasting influence in the realm of chemical sciences and beyond.

NOTABLE  PUBLICATIONS 

  • Title: Peptide Nucleic Acids: Recent Advancements and Future Opportunities in Biomedical Applications
    Authors: Achinta Sannigrahi, Nayan De, Debmalya Bhunia, Jhuma Bhadra
    Journal: Bioorganic Chemistry
    DOI: 10.1016/j.bioorg.2025.108146
  • Title: Understanding Antisense Oligonucleotide Efficiency in Inhibiting Prokaryotic Gene Expression
    Authors: Sandra Story, Sayantan Bhaduri, Sudakshina Ganguly, Rambabu Dakarapu, Sarah L. Wicks, Jhuma Bhadra, Simeon Kwange, Dev Arya
    Journal: ACS Infectious Diseases
    DOI: 10.1021/acsinfecdis.3c00645
  • Title: Self-Transfecting GMO-PMO Chimera Targeting Nanog Enable Gene Silencing In Vitro and Suppresses Tumor Growth in 4T1 Allografts in Mouse
    Authors: Ujjal Das, Jayanta Kundu, Pallab Shaw, Chandra Bose, Atanu Ghosh, Shalini Gupta, Sudipta Sarkar, Jhuma Bhadra, Surajit Sinha
    Journal: Molecular Therapy - Nucleic Acids
    DOI: 10.1016/j.omtn.2023.03.011
  • Title: Cananginone Abrogates EMT in Breast Cancer Cells through Hedgehog Signaling
    Authors: Chandra Bose, Ujjal Das, Tapan Kumar Kuilya, Joyanta Mondal, Jhuma Bhadra, Priyanjalee Banerjee, Rajib Kumar Goswami, Surajit Sinha
    Journal: Chemistry & Biodiversity
    DOI: 10.1002/cbdv.202100823
  • Title: Self-Transfecting GMO-PMO and PMO-GMO Chimeras Enable Gene Silencing In Vitro and In Vivo Zebrafish Model and NANOG Inhibition Induce the Apoptosis in Breast and Prostate Cancer Cells
    Authors: Jayanta Kundu, Ujjal Das, Chandra Bose, Jhuma Bhadra, Surajit Sinha
    Journal: Preprint
    DOI: 10.1101/2021.06.04.447039

Dr. Agnieszka Niemczynowicz – Machine Learning – Best Researcher Award 

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Dr. Agnieszka Niemczynowicz - Machine Learning - Best Researcher Award 

Cracow University of technology - Poland

AUTHOR PROFILE 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Agnieszka Niemczynowicz began her academic journey in the field of solid-state physics, earning her Ph.D. from the Faculty of Physics and Applied Informatics at the University of Łódź, Poland, in 2014. Her early research laid a strong foundation in the fundamental aspects of physics, equipping her with a deep understanding of physical systems and analytical techniques.

PROFESSIONAL ENDEAVORS 🏢

Upon completing her doctorate, Agnieszka transitioned into academia, taking up the role of Associate Professor at the Cracow University of Technology. She has since been instrumental in bridging the gap between physics and computational sciences, expanding her research horizons to include computational and mathematical methods for analyzing complex data sets across various disciplines.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Agnieszka’s research is at the forefront of computational analysis, focusing on multivariate statistics, chemometrics, and deep learning. She has developed advanced statistical and machine Machine Learning learning models that have found applications in diverse fields such as engineering, biology, medicine, and management. Her work is characterized by its interdisciplinary approach, integrating complex data analysis methods into practical applications.

ACCREDITATIONS AND RECOGNITION 🏅

A prolific researcher, Agnieszka has authored around 50 publications in international journals, contributing significantly to her field. Her excellence in research was recognized with the Machine Learning prestigious Doak Award in 2022, highlighting her impactful contributions to the scientific community and her role as a thought leader in computational analysis.

IMPACT AND INFLUENCE 🌍

Agnieszka’s work has had a significant impact on how complex analytical data is interpreted and utilized across various sectors. Her models have improved the accuracy of data-driven Machine Learning decisions in numerous applications, thereby enhancing the efficiency and effectiveness of processes in engineering, biology, medicine, and more.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Currently leading international research grants, Agnieszka investigates the mathematical foundations of hypercomplex neural networks and their applications. Her ongoing work promises to further unravel the complexities of data analysis, pushing the boundaries of what machine learning and computational methods can achieve. Her legacy lies in her pioneering efforts to integrate advanced mathematical models into practical solutions, ensuring that her influence will be felt across multiple disciplines for years to come.

NOTABLE PUBLICATIONS 

  • Title: A critical analysis of the theoretical framework of the Extreme Learning Machine
    Authors: Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
    Journal: Neurocomputing
  • Title: Use of physicochemical, FTIR and chemometric analysis for quality assessment of selected monofloral honeys
    Authors: Monika Kędzierska-Matysek, Anna Teter, Mariusz Florek, Arkadiusz Matwijczuk, Agnieszka Niemczynowicz, Alicja Matwijczuk, Grzegorz Czernel, Piotr Skałecki, Bożena Gładyszewska
    Journal: Journal of Apicultural Research
  • Title: Conclusions
    Authors: Joanna Nieżurawska, Radosław Antoni Kycia, Agnieszka Niemczynowicz
    Journal: (Book chapter, not a journal)
  • Title: Current research methods in mathematical and computer modelling of motivation management
    Authors: Agnieszka Niemczynowicz, Radosław Antoni Kycia
    Journal: (Book chapter, not a journal)
  • Title: Introduction
    Authors: Joanna Nieżurawska, Radosław Antoni Kycia, Agnieszka Niemczynowicz
    Journal: (Book chapter, not a journal)

Assoc. Prof. Dr Ganeshan R – Network Security Human Bipedal Robots – Best Researcher Award 

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Assoc. Prof. Dr Ganeshan R - Network Security Human Bipedal Robots - Best Researcher Award 

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology - India 

AUTHOR PROFILE 

SCOPUS 

ORCID 

🎓 EARLY ACADEMIC PURSUITS

Ganeshan R began his academic journey with a strong foundation in Information Technology. He earned his B.Sc in Information Technology from Bharathidasan University, where he developed a deep interest in computing. Pursuing further knowledge, he completed his M.Sc in Information Technology from Madras University, achieving distinction. His academic path was further enriched by a Postgraduate Diploma in Computer Applications (PGDCA) and a Diploma in Computer Hardware Engineering (DCHE), showcasing his commitment to continuous learning and technical expertise.

🏫 PROFESSIONAL ENDEAVORS

With over 12 years of teaching experience, Ganeshan R has contributed significantly to academia. He has held esteemed positions at institutions like Vel Tech University, VIT Bhopal University, KL University, and St. Joseph College of Engineering. His roles ranged from Assistant Professor to Associate Professor, where he specialized in Cyber Security and Digital Forensics. As a Programme Chair at VIT Bhopal, he guided the M.Tech program, ensuring students received industry-relevant education in cyber security.

💻 CONTRIBUTIONS AND RESEARCH FOCUS

Ganeshan R’s research focus is primarily on Cyber Security, where he combines practical knowledge with academic rigor. His Ph.D. in Information and Communication Engineering from Anna University reflects his dedication to advancing the field. His robust knowledge in cyber security tools enables him to integrate real-world applications into his teaching and research, bridging Network Security Human Bipedal Robots the gap between academia and industry.

🏅 ACCOLADES AND RECOGNITION

Throughout his career, Ganeshan R has been recognized for his teaching excellence and research contributions. His first-class honors in both his undergraduate and postgraduate studies Network Security Human Bipedal Robots highlight his academic achievements. His role as a senior academic leader in various institutions further underscores his reputation as a respected educator and researcher.

🌍 IMPACT AND INFLUENCE

Ganeshan R's influence extends beyond the classroom. His innovative teaching methods, such as student-centered learning strategies and practical knowledge facilitation, have inspired Network Security Human Bipedal Robots countless students to reach their full potential. His leadership in cyber security education has positioned him as a key figure in preparing the next generation of experts in the field.

📈 LEGACY AND FUTURE CONTRIBUTIONS

Ganeshan R's legacy is rooted in his dedication to education and research. His future contributions are expected to shape the landscape of cyber security education, with a continued emphasis on integrating practical tools and industry knowledge. His ongoing work at Vel Tech University and his previous roles reflect a trajectory of impactful contributions that will influence both students and the broader academic community.

NOTABLE PUBLICATIONS 

  • Title: I-AHSDT: Intrusion Detection Using Adaptive Dynamic Directive Operative Fractional Lion Clustering and Hyperbolic Secant-Based Decision Tree Classifier
    Author: Ganeshan R
    Journal: Journal of Experimental & Theoretical Artificial Intelligence
  • Title: Multimedia Conferencing for MANET in Cluster Based Signaling
    Author: Ganeshan R
    Journal: Computer Networks and Information Technologies (Book chapter)

Assoc. Prof. Dr Rui Mao – Artificial intelligence – Best Researcher Award

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Assoc. Prof. Dr Rui Mao - Artificial intelligence - Best Researcher Award

Northwest A&F University - China

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Rui Mao’s academic journey began with a master’s degree from Xi’an JiaoTong University, where she developed a keen interest in the application of technology in agriculture. She then pursued a Ph.D. from Northwest A&F University, where her research focused on the intersection of machine learning, image processing, and agriculture. Her strong foundation in these fields allowed her to push the boundaries of innovation in precision agriculture, laying the groundwork for her future research endeavors.

PROFESSIONAL ENDEAVORS 🏫

As an Associate Professor at Northwest A&F University, Rui Mao has been a key figure in bridging the gap between computer science and agriculture. Her extensive academic career includes presiding over four key research and development programs in Shaanxi Province. Additionally, she has contributed to multiple consultancy and industry projects, providing expert guidance on the implementation of machine learning and image processing in real-world agricultural settings.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Rui’s research focuses on machine learning, image processing, and pattern recognition, with a primary emphasis on precision agriculture. Her projects have led to the development of innovative solutions for improving agricultural productivity and sustainability. By integrating advanced technologies, her research provides practical applications for improving crop Artificial intelligence management, pest control, and resource optimization. She is also pioneering work on digital agriculture through her collaborations and ongoing projects, which are poised to transform the agricultural industry.

ACCREDITATIONS AND RECOGNITION 🏅

Rui Mao’s work has earned her significant recognition in the scientific community. With a citation index of 128 and 12 publications in prestigious journals, her research has had a considerable impact on the fields of agriculture and technology. Her contributions to digital agriculture and image processing have positioned her as a leading figure in her field. Rui’s expertise is further Artificial intelligence acknowledged through her membership in esteemed professional bodies such as the China Computer Society and the China Association of Image Graphics.

IMPACT AND INFLUENCE 🌍

Rui’s influence extends beyond academia. As a senior member of the China Computer Society and an executive committee member of its Digital Agriculture Branch, she has shaped the Artificial intelligence direction of research in the application of computer science to agriculture. Her work has contributed to the development of smarter, more efficient agricultural practices, which are essential for meeting global food security challenges. Through her innovations, Rui has directly impacted the agricultural technology landscape in China and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Rui Mao’s future work promises to continue advancing the integration of machine learning and image processing in agriculture. Her ongoing research on digital agriculture and precision farming has the potential to revolutionize farming practices globally, ensuring more sustainable and efficient food production. As a passionate educator and researcher, Rui is poised to inspire future generations of scientists and innovators, further solidifying her legacy as a pioneer in agricultural technology and machine learning applications.

NOTABLE PUBLICATIONS 

  • Title: A Real-Time Lightweight Behavior Recognition Model for Multiple Dairy Goats
    Authors: Xiaobo Wang, Yufan Hu, Meili Wang, Mei Li, Wenxiao Zhao, Rui Mao
    Journal: Animals (2024-12)
    DOI: 10.3390/ani14243667
  • Title: An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition
    Authors: Rui Mao, Dongzhen Shen, Ruiqi Wang, Yiming Cui, Yufan Hu, Mei Li, Meili Wang
    Journal: Animals (2024-04)
    DOI: 10.3390/ani14091316
  • Title: GSEYOLOX-s: An Improved Lightweight Network for Identifying the Severity of Wheat Fusarium Head Blight
    Authors: Rui Mao, Zhengchao Wang, Feilong Li, Jia Zhou, Yinbing Chen, Xiaoping Hu
    Journal: Agronomy (2023-01)
    DOI: 10.3390/agronomy13010242