Akriti Gupta | Artificial Intelligence | Women Researcher Award

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Dr. Akriti Gupta | Artificial Intelligence | Women Researcher Award

Assistant Professor | IIBS | India

Dr. Akriti Gupta’s research focuses on the application of artificial intelligence and advanced analytical techniques to understand human behavior within organizational and business contexts. Her work integrates decision sciences, organizational psychology, and data-driven modeling to examine factors influencing employee behavior, workplace performance, and managerial effectiveness. By employing comparative machine learning and statistical approaches, she contributes to evidence-based insights that support improved organizational outcomes and policy formulation. Her publications in Scopus-indexed journals reflect an interdisciplinary orientation, combining theory with practical relevance. Overall, her research advances the use of AI-enabled methods for behavioral analysis, supporting innovation in management practices and organizational decision-making.

Citation Metrics (Scopus)

60

50

40

30

20

10

Citations
57

Documents
9

h-index
3


View Scopus Profile

Featured Publications

Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research

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Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research Award

Dr. Mani shekhar Gupta | Adani University, Ahmedabad | India

📚 Dr. Mani Shekhar Gupta is an Assistant Professor at Adani University, Ahmedabad, with a Ph.D. in Electronics and Communication Engineering from NIT Hamirpur. 🚀 His research spans cognitive radio networks, vehicular networks, resource allocation, AI, and next-gen wireless technologies. 📡 With over 11 years of academic and research experience, he has contributed significantly through projects at IIT Delhi and NIT Hamirpur. 👨‍🏫 A passionate educator and innovator, Dr. Gupta excels in machine learning, green networks, and intelligent transportation systems. 💡 His dynamic approach blends technical expertise with a love for teaching and discovery. 🌟

Professional Profile:

Google Scholar

Suitability for the Excellence in Research Award

Dr. Mani Shekhar Gupta is highly suitable for the Excellence in Research Award due to his extensive academic background, impactful research contributions, and innovative approaches in the fields of cognitive radio networks, vehicular networks, resource allocation, artificial intelligence, and next-generation wireless technologies. His career, spanning over 11 years, reflects a deep commitment to advancing technological frontiers and fostering academic excellence.

Education 📖 & Experience 👨‍💼 

  • 📜 Ph.D. in Electronics & Communication Engineering, NIT Hamirpur (2017–2021) – CGPI 9.5
  • 🎯 M.Tech. in Electronics & Communication Engineering, NIT Hamirpur (2009–2011) – CGPI 8.49
  • 🏅 B.Tech. in Electronics & Communication, UPTU, Lucknow (2005–2009) – 74.42%
  • 👨‍🏫 Assistant Professor, Adani University (2022–Present)
  • 🔬 Postdoctoral Researcher, IIT Delhi (2021–2022)
  • 🎓 Ph.D. Research Scholar, NIT Hamirpur (2017–2021)
  • 👨‍💼 Assistant Professor, PSIT Kanpur (2011–2017)

Professional Development 

🌐 Dr. Gupta actively engages in continuous professional growth through memberships in global organizations like IEEE 📡, EAI 🇪🇺, IACSIT 🇸🇬, IAENG 🇭🇰, and IAAM 🌍. His participation spans technical communities focusing on e-Government, IoT 🌐, Smart Cities 🏙️, and Autonomous Driving 🚗. He’s also a member of humanitarian groups like IEEE SIGHT 🤝. Through conferences, workshops, and collaborative projects, Dr. Gupta refines his expertise in wireless networks, machine learning 🤖, and green technologies 🌱, ensuring he stays at the forefront of innovation and academic excellence. 🚀

Research Focus 

🔍 Dr. Gupta’s research focuses on cognitive radio networks 📡, vehicular networks 🚗, and resource allocation strategies for next-generation wireless systems 📶. His work integrates AI 🤖 and machine learning to enhance spectrum management, optimize network efficiency, and support intelligent transportation systems 🚦. He explores green network technologies 🌱, aiming to reduce environmental impact while improving connectivity. His contributions to 5G and beyond involve proactive spectrum sharing, game theory applications 🎯, and cooperative uplink-downlink strategies, making his research pivotal for smart cities 🏙️ and sustainable communication infrastructures. 🌍

Awards & Honors 🏆 

(No specific awards or honors mentioned in the provided details. If you have any, please share for accurate updates.)

  • 🏅 IEEE Membership & Active Roles in Multiple Societies
  • 🌟 Recognized Contributor in DST-SERB & BASF Research Projects
  • 📜 International Memberships: IACSIT 🇸🇬, IAENG 🇭🇰, IAAM 🌍

Publication Top Notes:

📡 Progression on Spectrum Sensing for Cognitive Radio Networks: A Survey, Classification, Challenges, and Future Research Issues  📑 Cited by 164
🌿 Energy Efficient Transmission Trends Towards Future Green Cognitive Radio Networks (5G): Progress, Taxonomy, and Open Challenges 📑 Cited by 114
🚗 Application Aware Networks’ Resource Selection Decision Making Technique Using Group Mobility in Vehicular Cognitive Radio Networks  📑 Cited by 32
📶 A Survey on NOMA Techniques for 5G Scenario  📑 Cited by 24
🔀 Seamless Vertical Handover for Efficient Mobility Management in Cooperative Heterogeneous Networks 📑 Cited by 20

 

 

 

Prof. Dr. Brigitte Jaumard | Machine Learn Award | Best Researcher Award

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Prof. Dr. Brigitte Jaumard | Machine Learn Award | Best Researcher Award

Prof. Dr. Brigitte Jaumard, Concordia University, Canada

Prof. Dr. Brigitte Jaumard is a distinguished professor in the Computer Science and Software Engineering Department at Concordia University, Canada. She has a prolific career in academia and research, holding multiple prestigious roles, including Tier I Canada Research Chair (CRC) in Optimization of Communication Networks. Her work spans over several decades, and she has contributed significantly to the fields of artificial intelligence, communication networks, and optimization. Dr. Jaumard has also held leadership positions at the Computer Research Institute of Montreal (CRIM) and has been recognized for her innovative work in AI and machine learning. She has received numerous awards, including Best Paper Awards at international conferences. 🌟

Professional Profile

Google Scholar

Suitability for Award

Prof. Dr. Brigitte Jaumard is an ideal candidate for the Research for Best Researcher Award due to her outstanding contributions to the fields of artificial intelligence, optimization, and communication networks. Her leadership in research, exemplified by her role as a Tier I Canada Research Chair and her work in AI and machine learning, has made significant strides in both theoretical and applied research. Prof. Jaumard’s numerous awards and honors further attest to the high regard in which her work is held. Her impactful research and dedication to advancing technology make her an excellent choice for this prestigious award. 🏆

Education

🎓 Prof. Dr. Brigitte Jaumard holds a Thèse d’Habilitation from Université Pierre et Marie Curie, Paris (1990), and a Ph.D. in Electrical Engineering from École Nationale Supérieure des Télécommunications (ENST), Paris, with the highest honors in 1986. She also completed a DEA (M.Sc.) in Artificial Intelligence from Université Paris VI (1984) and a degree in Computer Engineering/Information System Engineering from Institut d’Informatique d’Entreprise (1983). Her educational background laid a solid foundation for her career in optimization, AI, and communication networks. 📘

Experience

🧑‍🏫 Prof. Jaumard has held several prestigious academic appointments, including as a professor at Concordia University since 2010, where she currently teaches and conducts research in optimization and AI. She served as a Tier I Canada Research Chair in Optimization of Communication Networks from 2001 to 2019. Additionally, Prof. Jaumard has been involved in administrative roles, such as the Scientific Director of CRIM and Principal Data Scientist at Ericsson’s Global AI Accelerator. Her leadership in both academic and industrial research has made significant impacts on AI and network optimization. 🌍

Awards and Honors

🏅 Prof. Jaumard has received multiple accolades, including Best Paper Awards at the IEEE International Symposium on Measurements & Networking (2022) and IEEE Sarnoff Symposium (2017). She also ranked 1st in the 2022 ITU Artificial Intelligence/Machine Learning in 5G Challenge (Graph Neural Networking) and 2nd in 2021. These awards highlight her groundbreaking contributions to AI, machine learning, and network optimization. Her consistent recognition in prestigious conferences and competitions underscores her expertise and leadership in the field. 🌟

Research Focus

🔬 Prof. Jaumard’s research focuses on optimization of communication networks, artificial intelligence, machine learning, and data-centric AI. She has made significant contributions to the development of scalable network models, including network digital twins, and has advanced the application of graph neural networks in communication systems. Her work in AI spans across both theoretical aspects and real-world applications, particularly in optimizing network performance and improving AI systems’ reliability. Prof. Jaumard’s research has had a lasting impact on both academia and industry. 🧑‍💻

Publication Top Notes:

  • New branch-and-bound rules for linear bilevel programming
    • Year: 1992
    • Citations: 969
  • Cluster analysis and mathematical programming
    • Year: 1997
    • Citations: 961
  • Algorithms for the maximum satisfiability problem
    • Year: 1990
    • Citations: 558
  • A generalized linear programming model for nurse scheduling
    • Year: 1998
    • Citations: 408
  • A branch and cut algorithm for nonconvex quadratically constrained quadratic programming
    • Year: 2000
    • Citations: 262

 

Dr. Thomas Kotoulas | Artificial Intelligence Award | Best Researcher Award

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Dr. Thomas Kotoulas | Artificial Intelligence Award | Best Researcher Award

Dr. Thomas Kotoulas, Aristotle University of Thessaloniki, Greece, Greece

Dr. Thomas Kotoulas is a renowned physicist specializing in Newtonian dynamics and celestial mechanics. He has built a distinguished career in the study of dynamical systems, particularly the behavior of small bodies in the outer Solar System. He is currently a researcher at the University of Thessaloniki, where he earned his B.Sc. in Physics (1995) and Ph.D. in Physics (2003). Over the years, Kotoulas has become a key figure in the field of celestial mechanics, with numerous publications and contributions to the study of periodic orbits, stability, and resonance dynamics. His expertise extends to inverse problems in Newtonian dynamics and its applications in astronomy. Dr. Kotoulas has been awarded for his excellence as an external reviewer and continues to significantly contribute to the advancement of his research areas.

Professional Profile:

Google Scholar

Scopus

Summary of Suitability for Award:

Dr. Thomas Kotoulas is a strong contender for the Best Researcher Awards. His in-depth expertise, consistent scholarly output, contributions to high-impact research, leadership in projects, and acknowledgment from prestigious journals position him as a leading figure in the field of celestial mechanics. Given his outstanding research achievements and influential role in advancing scientific knowledge, Dr. Kotoulas is undoubtedly deserving of recognition as a top researcher in his field.

🎓Education: 

Dr. Kotoulas completed his B.Sc. in Physics at the Department of Physics at Aristotle University of Thessaloniki (A.U.Th.). He further pursued his postgraduate studies, culminating in a Ph.D. in Physics from the same department in 2003. His doctoral research focused on the dynamical evolution of small bodies in resonant areas within the outer Solar System, for which he received an excellent evaluation. His Ph.D. work was supervised by Professor John D. Hadjidemetriou. In addition to his academic qualifications, Dr. Kotoulas was awarded a fellowship from the National Foundation of Fellowships (Ι.Κ.Υ.) during his doctoral studies, where he specialized in dynamical systems and celestial mechanics. His academic journey was marked by excellence, shaping his future contributions to the scientific community in the fields of celestial mechanics and dynamics.

🏢Work Experience:

Dr. Kotoulas has accumulated extensive experience in the field of celestial mechanics and dynamical systems. He has worked on several significant research projects, including the “Dynamics of the restricted three-body problem and applications in Celestial Mechanics,” which was funded by the Greek Ministry of Education and the European Community. As a post-doctoral researcher, he contributed to the study of retrograde periodic orbits in the restricted three-body problem, focusing on applications in asteroids and the Kuiper Belt. Over the years, he has also served as a reviewer for several esteemed journals, such as “Celestial Mechanics and Dynamical Astronomy,” “Astrophysics and Space Science,” and “Research in Astronomy and Astrophysics.” His academic career is marked by his deep involvement in the application of inverse problems in Newtonian dynamics, which he continues to explore and develop through his research.

🏅Awards:

Dr. Thomas Kotoulas has received several prestigious awards and honors throughout his career. Notably, he was recognized as one of the best external reviewers for the journal “Research in Astronomy and Astrophysics” in 2022, receiving the Outstanding Reviewer Award for his valuable contributions. He also received a letter of recognition from Dr. Fabio Santos, the Publishing Editor of “Astrophysics and Space Science,” for his outstanding work as a reviewer during 2021 and 2022. Furthermore, Dr. Kotoulas was included in the Mathematical Reviews database, where he has written reviews for numerous papers on celestial mechanics. His work has been consistently acknowledged by the scientific community, affirming his expertise in dynamical systems and celestial mechanics. These honors highlight his significant contributions to the field, particularly in the areas of celestial mechanics, dynamics, and inverse problems.

🔬Research Focus:

Dr. Kotoulas’ primary research focus lies in the field of Newtonian dynamics and celestial mechanics, with an emphasis on the restricted three-body problem, orbital stability, and resonance dynamics. His research explores the dynamical evolution of small bodies, particularly in the outer Solar System, and how these bodies behave under the influence of resonances with larger celestial bodies. He specializes in the computation of families of periodic orbits, spectral analysis, and stability/instability in resonance regions. Additionally, Dr. Kotoulas works on inverse problems in Newtonian dynamics, applying them to astronomy and galactic dynamics. His work involves finding generalized force fields from families of orbits, as well as applying these techniques to improve our understanding of the structure and stability of orbital systems. Through his research, Dr. Kotoulas has significantly contributed to advancing theoretical models that describe the motion of celestial bodies and their dynamical interactions.

Publication Top Notes: 

  • “Planar Periodic Orbits in Exterior Resonances with Neptune”
    • Citations: 44
  • “Comparative Study of the 2:3 and 3:4 Resonant Motion with Neptune: An Application of Symplectic Mappings and Low Frequency Analysis”
    • Citations: 43
  • “On the Stability of the Neptune Trojans”
    • Citations: 34
  • “Symmetric and Nonsymmetric Periodic Orbits in the Exterior Mean Motion Resonances with Neptune”
    • Citations: 32
  • “On the 2/1 Resonant Planetary Dynamics–Periodic Orbits and Dynamical Stability”
    • Citations: 31

 

 

 

 

Mr. Congcong Ren | AI Award | Best Researcher Award

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Mr. Congcong Ren | AI Award | Best Researcher Award

Mr. Congcong Ren, Henan University of Science and Technology, China

Mr. Congcong Ren is a dedicated Master’s student in Vehicle and Traffic Engineering at Henan University of Science and Technology, with a Bachelor’s degree in Mechanical and Electrical Engineering from Henan Agricultural University. His expertise spans deep learning, algorithm development, and software testing, with practical experience in developing intelligent vehicles and defect detection systems. Mr. Ren has contributed to projects like an intelligent small car and wire rope defect detection, and he has gained hands-on experience during internships at Iflytek and Zeekr. His technical proficiency includes Python, PyTorch, and HIL test software, complemented by multiple school-level awards for innovation and entrepreneurship.

Professional Profile:

Orcid

Suitability for the Award

Mr. Congcong Ren is a highly suitable candidate for the Best Researcher Award based on the following points:

  1. Innovative Research:
    • His work on nighttime pedestrian detection and trajectory tracking addresses critical safety concerns in autonomous and intelligent vehicle systems. The use of fusion techniques combining visual and radar data showcases innovation in enhancing vehicle safety.
  2. Practical Experience:
    • His participation in significant projects like the intelligent small car and wire rope defect detection demonstrates his ability to apply theoretical knowledge to real-world challenges. These projects not only reflect technical skill but also his capability to collaborate effectively with industry partners.
  3. Academic and Professional Growth:
    • Mr. Ren’s ongoing master’s studies in artificial intelligence and traffic engineering, combined with his hands-on experience in internships at leading companies like Iflytek and Zeekr, underline his rapid professional development and adaptability in a fast-evolving field.
  4. Recognition and Skills:
    • His recognition through scholarships, awards, and publication of SCI papers highlights his academic excellence and contribution to the field. His proficiency in deep learning frameworks, coupled with practical software testing skills, positions him as a strong contender for research excellence.

Summary of Qualifications

  1. Educational Background:

    • Bachelor’s Degree in Mechanical and Electrical Engineering – Henan Agricultural University (2018-2022).
      • Major courses included Mechanical Design, Automobile Design, New Energy, and Traffic Engineering.
    • Master’s Degree (ongoing) in Vehicle and Traffic Engineering – Henan University of Science and Technology (2022-2025).
      • Major courses include Principles and Methods of Artificial Intelligence, Traffic Simulation Technology, System Control Theory, and Intelligent Network Technology.

  2. Project Experience:

    • Challenge Cup Project (2022-2023): Developed an intelligent small car with adjustable wheelbase and chassis height, integrating camera and millimeter-wave radar data for obstacle detection and avoidance.
    • Wire Rope Defect Detection Project (2023): Collaborated with Luoyang Wilrop Testing Technology Co., LTD. to improve YOLOv5s algorithm for defect detection in wire ropes using industrial camera images, meeting the project’s expected requirements.

  3. Internship Experience:

    • Iflytek (2023-2024): Tested large model voice assistant software, proficient in Android Studio and Adobe Audition, and used Python for batch pressure testing.
    • Zeekr (2024): Proficient in HIL test software (ECU-TEST, Canoe, INCA), familiar with software development processes and protocols (LIN/CAN), and involved in new energy vehicle controller testing.

  4. Technical Skills:

    • Proficient in Python, PyTorch, Matlab, Simulink, and various HIL test software.
    • Strong capabilities in deep learning, algorithm development, and software testing.
    • Recognized with school-level scholarships and awards, including the innovation and entrepreneurship competition fund.

Publication Top Notes:

1.  Study on Nighttime Pedestrian Trajectory-Tracking from the Perspective of Driving Blind Spots –  (2024).

2.  Nighttime Pedestrian Detection Based on a Fusion of Visual Information and Millimeter-Wave Radar –  (2023).

Both articles reflect his focus on advanced technologies in vehicle safety, particularly in challenging environments like nighttime driving.

Conclusion

Mr. Congcong Ren is an outstanding candidate for the Best Researcher Award, given his solid educational foundation, innovative research contributions in vehicle safety, and substantial practical experience in engineering and software testing. His ability to combine academic research with practical applications, particularly in the field of intelligent vehicle systems, makes him a deserving recipient of this award.