B. Chitradevi | Image Processing | Research Excellence Award

Dr. B. Chitradevi | Image Processing | Research Excellence Award

SRM Institute of Science & Technology, Tiruchirapalli Campus | India

Dr. B. Chitradevi is an accomplished researcher and Assistant Professor in Computer Applications at SRM Institute of Science and Technology, with expertise spanning Image Processing, Data Mining, Cloud Computing, and Networks. Her research contributions include advancements in image denoising, steganography, synthetic aperture radar (SAR) image analysis, and predictive modeling using machine learning techniques such as Support Vector Machines and Vision Transformers. With a strong publication record, her work has been widely cited, reflecting her impact in both theoretical and applied computing. Dr. Chitradevi has also been recognized with multiple awards for teaching, research excellence, and leadership in innovation.

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Featured Publications

An Overview on Image Processing Techniques
– International Journal of Innovative Research in Computer and Communication Engineering, 2014

Data Hiding Using Least Significant Bit Steganography in Digital Images
– Statistical Approaches in Multidisciplinary Research, 2017

Cloud-Based Smart Water Management System
– International Conference on Sustainable Computing and Smart Systems, 2023

Diabetes Mellitus Prediction and Classification Using Firefly Optimization-Based Support Vector Machine
– International Conference on Distributed Computing and Optimization, 2024

Sohrab Pirhadi | Machine Learning | Research Excellence Award

Mr. Sohrab Pirhadi | Machine Learning | Research Excellence Award

Institute for Advanced Studies in Basic Sciences | Iran

Mr. Sohrab Pirhadi is a data scientist and machine learning researcher specializing in natural language processing, deep learning, and high-dimensional data analysis. His work focuses on optimizing machine learning models for tasks such as sentence-level relation extraction and ensemble learning, with applications in food authentication, sparse data analysis, and interpretable AI. He has contributed to developing computational methods for species identification in meat products using spectroscopy and chemometrics, and has published in journals including Results in Chemistry and IEEE conference proceedings. His research emphasizes scalable, explainable, and application-driven AI solutions bridging theory with real-world challenges.

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Joanna Dąbrowska | Veterinary | Research Excellence Award

Dr. Joanna Dąbrowska | Veterinary | Research Excellence Award

National Veterinary Research Institute| Poland

Dr. Joanna Dąbrowska is a leading veterinary scientist specializing in molecular parasitology, diagnostic assay development, and multi-omics analysis of protozoan and helminth pathogens affecting animals and public health. Her research focuses on Tritrichomonas foetus, Cryptosporidium spp., Toxoplasma gondii, and Anisakis species, with strong contributions to genomic, transcriptomic, and proteomic profiling for improved disease detection and control. She has authored 32 peer-reviewed publications, achieved 475 citations, and holds an h-index of 13, reflecting significant scholarly impact. Her research profile demonstrates excellence in translational veterinary research, innovative diagnostic method development, and leadership in competitive national and international research projects.

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Alejandra Ruiz-Clavijo | Advanced Materials Engineering | Research Excellence Award

Dr. Alejandra Ruiz-Clavijo | Advanced Materials Engineering | Research Excellence Award

IFW Dresden | Germany

Dr. Alejandra Ruiz-Clavijo is a researcher at CSIC’s Instituto de Micro y Nanotecnología (IMN-CNM), Spain, specializing in nanomagnetism, magnetoelastic phenomena, and three-dimensional nanostructured materials. Her work advances understanding of magnetic behavior at the nanoscale with applications in spintronics and next-generation devices. She has authored 17 peer-reviewed publications, received 481 citations across 377 documents, and holds an h-index of 10, reflecting solid impact and consistent scholarly productivity. Her recent contributions include high-impact research on magnetoelastic anisotropy and localized magnetization reversal in 3D nanowire networks, demonstrating innovation and scientific rigor.

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Md Jannatul Islam Polash | Drug Design | Research Excellence Award

Mr. Md Jannatul Islam Polash | Drug Design | Research Excellence Award

Islamic University | Bangladesh

Mr. Md Jannatul Islam Polash is an emerging pharmaceutical researcher specializing in antibiotic resistance, antidiabetic drug discovery, phytochemical analysis, and bioinformatics. His work integrates in vitro, in vivo, and in silico approaches, with publications in high-impact journals including Biomedicine & Pharmacotherapy, Scientific Reports, and Journal of Cellular and Molecular Medicine. He has contributed to systematic reviews, molecular docking studies, and multimodal pharmacological evaluations, reflecting strong interdisciplinary research capacity. His scholarly profile shows Citations: 16, h-index: 2, i10-index: 1, indicating growing academic impact and promise in translational pharmaceutical sciences.

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Kenali 5 Istilah Penting di Dunia Slot Online Selain RTP dan Volatilitas

Selain RTP (Return to Player) dan Volatilitas yang sudah kita bahas sebelumnya, dunia mesin slot daring (online slots) memiliki banyak sekali istilah teknis yang wajib dipahami oleh para pemain. Mengetahui istilah-istilah ini akan membantu Anda membaca informasi permainan dengan lebih akurat, menyusun strategi yang lebih matang, serta menghindari kebingungan saat bermain.

Berikut adalah 5 istilah penting di dunia slot online selain RTP dan volatilitas yang wajib Anda ketahui:

1. Scatter (Simbol Pencar)

Scatter adalah salah satu simbol paling berharga dan paling dinanti-nanti dalam permainan slot online. Berbeda dengan simbol biasa yang harus berurutan dari kiri ke kanan pada garis pembayaran (payline), simbol Scatter biasanya bisa membayar atau memicu fitur bonus di posisi mana pun pada gulungan asalkan jumlahnya mencukupi (biasanya minimal 3 simbol).

  • Fungsi Utama: Memicu babak Free Spins (putaran gratis) atau membuka mini-game bonus interaktif yang menjadi sumber utama kemenangan besar dalam sebuah game slot.

2. Paylines (Garis Pembayaran)

Paylines atau garis pembayaran adalah jalur atau pola tertentu di atas gulungan (reels) di mana kombinasi simbol kemenangan harus mendarat agar pemain mendapatkan hadiah.

  • Jenis Paylines: Pada mesin slot klasik, garis pembayaran biasanya lurus mendatar atau diagonal (sekitar 3 hingga 10 garis). Namun, slot modern saat ini menggunakan teknologi canggih seperti Megaways (bisa mencapai ribuan hingga ratusan ribu cara menang) atau sistem Cluster Pays (menang jika simbol berkelompok).
  • Semakin banyak garis pembayaran aktif, semakin besar pula peluang terbentuknya kombinasi kemenangan dalam setiap putaran.

3. Max Win (Kemenangan Maksimal)

Max Win adalah batas atas atau batas maksimal kemenangan yang bisa didapatkan oleh seorang pemain dalam satu sesi permainan atau satu putaran tunggal pada game slot tertentu.

  • Format Penulisan: Biasanya dinyatakan dalam bentuk pengali (multiplier) terhadap https://www.lattajjifoods.com/recipes taruhan awal Anda, misalnya $5.000x$ atau $50.000x$ dari nilai taruhan.
  • Contoh: Jika Anda memasang taruhan 10.000 rupiah dan game tersebut memiliki batas Max Win $10.000x$, maka batas maksimal kemenangan yang dibayarkan oleh sistem untuk putaran tersebut adalah 100 juta rupiah, meskipun secara teoretis kombinasi Anda bisa melebihi angka itu.

4. Wild Symbol (Simbol Liar)

Wild adalah simbol khusus dalam slot online yang berfungsi layaknya kartu Joker dalam permainan kartu.

  • Fungsi Utama: Simbol ini dapat menggantikan hampir semua simbol reguler lainnya (kecuali Scatter) untuk membantu melengkapi atau menyambungkan garis kemenangan yang terputus.
  • Variasi Wild: Saat ini, simbol Wild memiliki banyak jenis inovatif, seperti Expanding Wilds (memenuhi satu kolom penuh), Sticky Wilds (menempel di tempatnya selama beberapa putaran gratis), hingga Multiplier Wilds (memberikan tambahan pengali kemenangan).

5. RNG (Random Number Generator)

RNG adalah algoritma komputer inti yang mengatur sistem keadilan (fairness) dan keacakan dari setiap putaran mesin slot online.

  • Cara Kerja: RNG secara terus-menerus menghasilkan ribuan angka acak setiap detiknya, bahkan ketika mesin tersebut sedang tidak dimainkan. Saat Anda menekan tombol Spin, sistem langsung mengunci angka acak pada detik itu untuk menentukan posisi berhenti simbol di gulungan.
  • Pentingnya RNG: Keberadaan sistem RNG yang sudah diuji oleh lembaga audit independen (seperti iTech Labs atau BMM Testlabs) menjamin bahwa setiap hasil putaran murni bersifat acak, tidak bisa ditebak, dicurangi, ataupun diatur oleh pihak mana pun.

Jin-Haeng Chung | Pathology | Research Excellence Award

Prof. Dr. Jin-Haeng Chung | Pathology | Research Excellence Award

Seoul National University Bundang Hospital/Seoul National University College of Medicine| South Korea

Prof. Dr. Jin-Haeng Chung is a leading physician-scientist at Seoul National University College of Medicine, specializing in thoracic oncology, molecular pathology, and precision cancer diagnostics, with a strong focus on non-small cell lung cancer, tumor microenvironment, genomic profiling, and AI-assisted histopathology. He has authored over 240 peer-reviewed publications and received nearly 10,000 citations, reflecting a sustained record of high-impact, clinically translational research. With an h-index of 51 and extensive international collaboration, his work has significantly advanced lung cancer diagnosis, treatment stratification, and biomarker-driven therapy, establishing him as a globally recognized authority in cancer research.

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Citations 9,923

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Davy Fiwa Kaoke | Bioenergy | Research Excellence Award

Dr. Davy Fiwa Kaoke | Bioenergy | Research Excellence Award

University of Ngaoundere | Cameroon

Dr. Davy Fiwa Kaoke is a Ph.D. Engineer and Senior Lecturer–Researcher at the University of Ngaoundere, Cameroon, and Head of the Service of Research, Cooperation, and Income-Generating Activities. He holds a Ph.D. in Energy and Environment (Bioenergy) jointly from the University of Maroua and the University of Lorraine (France). His expertise spans bioenergy systems, chemical engineering, catalytic and thermochemical processes, waste valorization, and environmental engineering. He has authored several peer-reviewed journal articles and international conference papers focusing on biomass conversion, biochar applications, biodiesel production, and life-cycle assessment. Dr. Fiwa has led and coordinated international research projects under EU–AU frameworks, collaborated with European and African institutions, and contributed to societal impact through sustainable energy solutions, waste treatment, and bio-fertilizer development for agro-industrial and urban contexts.

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Featured Publications

Physicochemical and thermal properties of some key tropical sawdust woods for energy production
Journal of Sustainable Bioenergy Systems, 2024 • Vol. 14(1), pp. 1–22 • Citations: 5

Physicochemical potential of Balanites aegyptiaca seed kernel oil from Northern Cameroon for biodiesel valorization
Journal of Energy Research and Reviews, 2021 • Vol. 9, pp. 21–31 • Citations: 3

Rehnuma Tasmiyah Chowdhury | Natural Drugs | Innovative Research Award

Ms. Rehnuma Tasmiyah Chowdhury | Natural Drugs | Innovative Research Award

Bangladesh Council of Scientific and Industrial Research | Bangladesh

Ms. Rehnuma Tasmiyah Chowdhury is a biochemistry and molecular biology researcher specializing in natural product pharmacology, nanobiotechnology, and bioinformatics-driven drug discovery. Her work integrates in silico molecular docking, ADMET prediction, and experimental validation to explore therapeutic candidates and functional nanomaterials. She has published in high-impact journals such as Phytomedicine Plus and RSC Advances, with research spanning anti-gout therapies, biogenic zinc oxide nanoparticles, and food authenticity testing. Her profile reflects 2 documents, 9 citations, and an h-index of 1, highlighting her growing impact and innovative interdisciplinary research orientation.

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