Dilshod Nematov | Machine Learning | Best Researcher Award

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Prof. Dr. Dilshod Nematov | Machine Learning | Best Researcher Award

Head of the Quantum Electronics Laboratory, S.U.Umarov Physical–Technical Institute of the National Academy of Sciences of Tajikistan, Tajikistan

Prof. Dr. Dilshod Nematov, Ph.D., is a distinguished physicist and the Head of the Laboratory of Quantum Electronics at the S.U. Umarov Physical–Technical Institute of the National Academy of Sciences of Tajikistan, recognized for his interdisciplinary expertise in physics, quantum electronics and machine learning applications in functional materials. He completed his Ph.D. in Materials Science at Tajik National University in 2021, after earning a Master’s degree in Physics (2019) and a Bachelor of Science in Physics (2017) from the same institution. Professionally, he has held key positions including Senior Researcher, Scientific Secretary and Senior Lecturer at the Tajik Technical University, demonstrating leadership in both research and academic settings. His research focuses on the integration of molecular dynamics, quantum chemistry, and machine learning techniques to optimize functional materials for photovoltaic and LED applications, with extensive experience in experimental synthesis and advanced material characterization. Prof. Dr. Dilshod Nematov has participated in numerous international research projects and scientific internships in Japan, Portugal, Spain, Germany, Ukraine and Kazakhstan, fostering a robust global scientific network. His research skills encompass experimental physics, computational modeling, quantum electronics and data-driven material analysis, contributing to 20 Scopus-indexed publications with 162 citations and an h-index of 8. He has been recognized with several prestigious honors, including the Best Young Scientist of the CIS Countries Award (2023) and the Mayor of Dushanbe Prize in Natural and Technical Sciences (2023). With his strong academic record, international collaborations and leadership capabilities, Prof. Prof. Dr. Dilshod Nematov is well-positioned to advance high-impact research, mentor emerging scientists and drive innovative developments in machine learning and quantum materials, making him highly deserving of global recognition and awards.

Profile: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

Nematov, D. D., Kholmurodov, K. T., Husenzoda, M. A., Lyubchyk, A., … (2022). Molecular adsorption of H2O on TiO2 and TiO2: Y surfaces. Journal of Human, Earth, and Future, 3(2), 213–222.

Davlatshoevich, N. D., Ashur, K. M., Saidali, B. A., KholmirzoTagoykulovich, K., … (2022). Investigation of structural and optoelectronic properties of N-doped hexagonal phases of TiO2 (TiO2-xNx) nanoparticles with DFT realization: Optimization of the band gap and … Biointerface Research in Applied Chemistry, 12(3), 3836–3848.

Nematov, D. D. (2021). Investigation optical properties of the orthorhombic system CsSnBr3-xIx: Application for solar cells and optoelectronic devices. Journal of Human, Earth, and Future, 2(4), 404–411.

Nematov, D. (2024). Analysis of the optical properties and electronic structure of semiconductors of the Cu2NiXS4 (X = Si, Ge, Sn) family as new promising materials for optoelectronic devices. Journal of Optics and Photonics Research, 91–97.

Nematov, D. D., Burhonzoda, A. S., Khusenov, M. A., Kholmurodov, K. T., … (2019). The quantum-chemistry calculations of electronic structure of boron nitride nanocrystals with density functional theory realization. Egyptian Journal of Chemistry, 62, 21–27.

Narendra V Ganganagowdar | Machine Learning | Best Researcher Award

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Dr. Narendra V Ganganagowdar | Machine Learning | Best Researcher Award

Professor at Manipal Institute of Technology | India

Dr. Narendra V. Ganganagowdar is a seasoned academic and researcher with over 26 years of experience in computer science and engineering. He is a Professor at MIT Manipal, with expertise in computer graphics, image processing, artificial intelligence, and soft computing techniques. He has contributed significantly to research, teaching, consultancy, and academic leadership, mentoring numerous students, securing grants, and publishing extensively in indexed journals and conferences. Dr. Ganganagowdar is an active member of multiple professional organizations and serves in advisory roles at the department and institutional level.

Professional Profile:

Education: 

Dr. Narendra V. Ganganagowdar completed his Ph.D. in Computer Science and Engineering from MIT Manipal, Manipal University. He earned his M.Tech. in Computer Science and Engineering from JNNCE, Shimoga (VTU Belgaum), and his B.E. in Computer Science and Engineering from STJIT Ranebennur (Karnataka University, Dharwad). His academic training laid the foundation for his expertise in advanced computing technologies and engineering education.

Experience:

Dr. Narendra V. Ganganagowdar’s academic career spans multiple roles, including Professor at MIT Manipal, Associate Professor, and Assistant Professor. He began his career as a Lecturer at STJIT Ranebennur and BIET Davangere, and progressed through senior roles contributing to teaching, research, and administration. He has organized workshops, FDPs, and short-term programs, served as a resource person in various technical talks, and evaluated Ph.D. theses at multiple universities. Additionally, he has provided consultancy in projects such as automation for managing country labels and NLP applications in healthcare, and secured research grants exceeding Rs. 80 lakhs from government and industry sources.

Research Interests:

Dr. Narendra V. Ganganagowdar research focuses on computer graphics, algorithms, image processing, computer vision, artificial intelligence, and soft computing techniques. Dr. Ganganagowdar’s work integrates programming languages like C, C++, Python, MATLAB, and tools such as OpenGL, Weka, MySQL, and platforms across Windows and Unix/Linux environments. His interests extend to solving real-world problems through computational intelligence, improving machine learning pipelines, and applying AI techniques in healthcare and other domains.

Publications Top Noted:

  1. A federated learning-based crop yield prediction for agricultural production risk management, Year: 2022, Citation: 75

  2. A trusted IoT data sharing and secure oracle based access for agricultural production risk management, Year: 2023, Citation: 55

  3. Study and comparison of various image edge detection techniques used in quality inspection and evaluation of agricultural and food products by computer vision, Year: 2011, Citation: 52

  4. A Blockchain Based Decentralized Identifiers for Entity Authentication in Electronic Health Records, Year: 2022, Citation: 50

  5. An intelligent computer vision system for vegetables and fruits quality inspection using soft computing techniques, Year: 2019, Citation: 33

Conclusion:

Dr. Narendra V. Ganganagowdar exemplifies dedication, innovation, and excellence in machine learning and computer science education. His work integrates cutting-edge technologies with practical applications, particularly in agriculture and healthcare, addressing key societal challenges. Through mentorship, research leadership, and consultancy, he has fostered a collaborative and impactful academic environment. His expertise in AI and soft computing continues to inspire students and peers alike. Recognition through the Best Researcher Award under the Global Network & Technology Excellence Awards celebrates his outstanding contributions to technology, education, and societal advancement.

Sameer Jain | Machine Learning | Best Researcher Award

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Dr. Sameer Jain | Machine Learning | Best Researcher Award

Sameer Jain at National Institute of Construction Management and Research: Pune, India.

Dr. Sameer Jain is an accomplished academic and researcher specializing in Industry 4.0 technologies, with strong interdisciplinary expertise spanning IoT, Cloud Computing, AI, Machine Learning, and Construction Technology. With a dynamic career bridging academia, research, and industry collaborations, he has mentored numerous students, guided startups, and led lab setups for next-generation tech domains such as AR/VR, Analytics, BIM, and Drone Technology. Dr. Jain has also served as a key facilitator of institutional collaborations, national-level conferences, and curriculum innovation in digital transformation. His holistic approach to tech-driven pedagogy, project-based learning, and strategic university-industry partnerships positions him as a driving force in transforming management and technology education.

Professional Profile ,

Scopus

Orcid

Google Scholar

Education 🎓📚

  • Ph.D. in Computer Science & Engineering (2024)
    JK Lakshmipat University, Jaipur
    Thesis: IoT-based Resource Management Automation for Building Projects

  • Advanced Certification – Software Engineering for Cloud, Blockchain & IoT
    IIT Madras & Great Learning

  • M.Tech (Gold Medalist) – Microelectronics Systems & Embedded Technology
    Jaypee Institute of Information Technology University, Noida

  • PG Diploma in Information Technology Management
    All India Management Association (AIMA), New Delhi

  • PG Diploma in Intellectual Property Rights Management (PDIPRM)
    Narsee Monjee Institute of Management Studies (NMIMS), Mumbai

  • Bachelor of Engineering (B.E.) in Information Technology
    RTM Nagpur University

Professional Experience 🧑‍🏫💼

  • Associate Professor (2012–Present) – NICMAR University, Pune

    • Designed and taught core Industry 4.0 courses

    • Supervised 50+ postgraduate theses, 40+ undergraduate projects

    • Mentored 3 start-ups including operational venture Design Dixon

    • Conducted MDPs, international conferences, and collaborative research

    • Director General’s OSD for administrative coordination and strategic outreach

  • Assistant Professor (NMIMS Mumbai, Quantum Roorkee, JIIT Noida)

    • Courses in Computer Science, Embedded Systems, IT Management

    • Facilitated workshops on Android, CDMA, and Energy Tech

  • Engineer (Delhi Transco Ltd.)

    • Led energy conservation programs and awareness initiatives with Delhi Government, TERI, and MNRE

Research Interest 🔬📈

  • Industry 4.0 Applications in Management & Infrastructure

  • IoT and Smart Resource Management

  • Cloud and Blockchain in Supply Chain

  • AI/ML for Decision Systems

  • Data Visualization & Predictive Analytics

  • AR/VR and Digital Learning Environments

  • Digital Transformation in Higher Education

Publications Top Noted

  • AHP Analysis for Using Cloud Computing in SCM
    I2CT Conference, 2017

  • Fatigue Detection Based on User Attentiveness
    IEEE ISCON, 2014

  • RFID-Based Materials Tracking for Construction
    IJRES, 2024

  • Entrepreneurship in Construction and Contracting
    IJANS, 2023

  • Machine Learning in Loan Approval Systems
    IJBARI, 2024

Conclusion 🌟🎯

Dr. Sameer Jain is highly suitable for the Best Researcher Award in Machine Learning, particularly for his pragmatic, innovation-driven, and educational contributions that blend ML with critical sectors like construction, energy, and digital transformation. His interdisciplinary influence, teaching excellence, and start-up mentorship solidify his reputation as a next-generation research leader.