Sameer Jain | Machine Learning | Best Researcher Award

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 πŸŽ“πŸ“š

  • 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 πŸ§‘β€πŸ«πŸ’Ό

  • 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 πŸ”¬πŸ“ˆ

  • 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.

Sherbaz Khan | Artificial Neural Networks | Best Researcher Award

Sherbaz Khan | Artificial Neural Networks | Best Researcher Award

Dr. Sherbaz Khan, Jinnah University for Women, Pakistan.

Sherbaz Khan is a dedicated academician and researcher with over a decade of experience in teaching and research across prominent universities in Pakistan. He holds a Ph.D. in Management Sciences and specializes in research methods, marketing, and management. He is the Head of the Business Administration Department at Jinnah University for Women, where he teaches graduate and postgraduate students. His research interests span various qualitative and quantitative methods, including SEM, Artificial Neural Networks (ANN), and Fuzzy Inference Systems (FIS). Dr. Khan has a passion for fostering a research culture and has contributed significantly to student development.Β πŸ“šπŸŽ“πŸ“Š

Publication Profiles

Orcid
Scopus

Education and Experience

  • Ph.D. in Management Sciences, Greenwich University (Nov 2023)Β πŸŽ“
  • MBA in Management Sciences (Marketing), Greenwich University (2013)Β πŸ’Ό
  • BBA in Management Sciences (Marketing), Greenwich University (2010)Β πŸ’Ό
  • Associate Professor & Head of Department, Jinnah University for Women (2024-Present) 🏫
  • Research Faculty/Managing Editor, CBM-IoBM (2023)Β πŸ“
  • Faculty & Supervisor, Jinnah University for Women (2019-2023) 🏫
  • Associate Editor/Research Supervisor, SZABIST (2015-2018)Β πŸ“–
  • Research Coordinator, Greenwich University (2013-2015)Β πŸ”¬

Suitability For The Award

Dr. Sherbaz Khan, a seasoned academician and researcher, has over a decade of experience in teaching and research at prestigious institutions. With a Ph.D. in Management Sciences, his expertise spans SEM, Fuzzy Inference Systems, Artificial Neural Networks, and Multi-Group Analysis. Currently serving as Head of the Department at Jinnah University for Women, he has supervised numerous research projects, advanced academic standards, and contributed significantly to research culture, making him an exceptional candidate for the Best Researcher Award.

Professional Development

Sherbaz Khan is committed to continuous professional development in the field of academic research and teaching. He regularly participates in workshops and research methodology seminars, which have helped enhance his teaching practices and research supervision skills. Khan’s development includes extensive experience in using advanced research tools such as SPSS, NVIVO, and Smart PLS, empowering students with quantitative and qualitative research skills. His role as a faculty member has enabled him to mentor students in research methods and thesis writing, significantly contributing to their academic success. Additionally, his leadership as Head of Department has nurtured a research-driven environment.Β πŸ“ˆπŸ‘¨β€πŸ«πŸ“Š

Research Focus

Publication Top Notes

  • The impact of the enablers of green supplier selection and procurement on supply chain performanceΒ (2024)
    International Journal of Procurement Management, 21(3), pp. 349–377Β πŸ“ˆ
  • The effect of religiosity, materialism and self-esteem on compulsive and impulsive buying behaviorΒ (2024)
    Journal of Islamic MarketingΒ πŸ’Έ
  • A grey decision-making trial and evaluation laboratory model for digital warehouse management in supply chain networksΒ (2023)
    Decision Analytics Journal, 8, 100293Β πŸ”Β (19 citations)
  • Designing a knowledge-based system (KBS) to study consumer purchase intention: the impact of digital influencers in PakistanΒ (2023)
    Kybernetes, 52(5), pp. 1720–1744Β πŸ“±
  • Supply Chain Resilience During Pandemic Disruption: Evidence from the Healthcare Sector of Pakistan: Evaluating Demand and Supply Chain ResilienceΒ (2023)
    Understanding Complex Systems, Part F1776, pp. 235–254 🌍
  • Phenomenological Study of Pharmaceutical Supply Chain in Pakistan: Innovative Approaches to Minimize Operational InefficienciesΒ (2023)
    Understanding Complex Systems, Part F1776, pp. 211–233Β πŸ’Š
  • Obstacles in Disruption and Adoption of Green Supply Chain Management (GSCM) Practices by Manufacturing IndustriesΒ (2023)
    Understanding Complex Systems, Part F1776, pp. 153–179 🌱
  • The role communication, informativeness, and social presence play in the social media recruitment context of an emerging economyΒ (2023)
    Cogent Business and Management, 10(3), 2251204Β πŸ“’