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.

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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.

Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award

Mr. Tohid Sharifi | Machine Learning Award | Best Researcher Award

Mr. Tohid Sharifi, Niroo Research Institute, Iran

Mr. Tohid Sharifi is a proficient electrical engineer with an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology and a B.Sc. in Electrical Power Engineering from Urmia University. His research encompasses notable projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering, and he is actively working on heat transfer investigations for advanced motor designs. With industrial experience as a CFD Specialist and Cooling System Design Engineer, he has contributed to thermal analysis for a 100kW flywheel energy storage system and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks. His research interests include power electronics, electrical machines, electric vehicles, and metaheuristics, and he holds a patent for a hybrid excited flux switching permanent magnet motor for electric vehicle applications.

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Suitability for the Best Researcher Award:

Mr. Tohid Sharifi’s extensive research and industrial contributions make him an ideal candidate for the Best Researcher Award. His focus on heat transfer and cooling systems for electric motors, coupled with his work in metaheuristic optimization for motor efficiency, reflects his forward-thinking approach to solving key challenges in power electronics and energy systems. His innovative contributions to electric vehicle motor design and the optimization of thermal systems using advanced algorithms showcase his potential for significant future impact in the field.

🎓 Education:

Mr. Tohid Sharifi holds an M.Sc. in Electrical Machines and Power Electronics from Amirkabir University of Technology (Tehran Polytechnic) and a B.Sc. in Electrical Power Engineering from Urmia University.

🛠️ Academic Projects:

His research includes significant projects such as a hybrid estimation model for real-time temperature monitoring in electric motors, published in Case Studies in Thermal Engineering. He has also worked on heat transfer investigations for advanced motor designs, with papers under revision in prominent journals.

🏭 Industrial Experience:

In the industrial sector, Mr. Sharifi has contributed as a CFD Specialist and Cooling System Design Engineer for electric motors. He played a crucial role in thermal analysis for a 100kW flywheel energy storage system at Niroo Research Institute and optimized heat transfer for a 200kW water-cooled motor using artificial neural networks.

🔍 Research Focus:

His research interests lie in power electronics, electrical machines, electric vehicles, metaheuristics, and heat transfer. He is also an inventor, with a patented hybrid excited flux switching permanent magnet motor for electric vehicle applications.

Publication Top Notes:

  • “An asymmetrical cascaded single-phase quasi Z-source multilevel inverter with reduced number of switches and lower THD”
    • Citations: 9
    • Published: 2020
  • “Optimal design of a synchronous reluctance motor using biogeography-based optimization”
    • Citations: 5
    • Published: 2021
  • “Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm”
    • Citations: 4
    • Published: 2021
  • “Analytical Modeling and Electrical Equivalent Circuit Extraction for a Flux Switching PM Motor for EVs”
    • Citations: 3
    • Published: 2022
  • “Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm”
    • Citations: 2
    • Published: 2022