Raheleh Roudi | Immuno-oncology | Best Researcher Award

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Dr. Raheleh Roudi | Immuno-oncology | Best Researcher Award

Raheleh Roudi at University of Stanford, United States

Dr. Raheleh Roudi is a molecular medicine expert with extensive experience in drug discovery, cancer immunotherapy, and nanoparticle-based therapeutics. She is currently a Basic Life Research Scientist at Stanford University, where she focuses on iron oxide nanoparticle development, drug metabolism, and preclinical cancer models. Dr. Roudi has a strong background in molecular and cellular biology, in vivo pharmacology, and bioinformatics, with expertise in single-cell RNA sequencing, protein characterization, and immune profiling.

Publication Profile

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Educational Details

  • Ph.D. in Molecular Medicine, Iran University of Medical Sciences (2009-2014)
  • MSc in Human Genetics, Tabriz University of Medical Sciences (2007-2009)
  • B.A. in Midwifery, Tehran University of Medical Sciences (2001-2006)

Professional Experience

Dr. Roudi has a diverse research background spanning academia and biomedical research institutions. At Stanford University, she is involved in nanoparticle-based drug delivery, pharmacokinetics, and immune cell trafficking in tumor models. Previously, as a Postdoctoral Associate at the University of Minnesota, she investigated the molecular mechanisms of liver diseases and developed potential therapeutic agents using bioinformatics and preclinical models. As a Visiting Scientist at the University of Texas Health Science Center, she contributed to the development of iNETgrate, a Bioconductor package for integrating DNA methylation and gene expression data. During her tenure as a Lecturer and Researcher at Iran University of Medical Sciences, she worked extensively on cancer stem cell characterization, biomarker discovery, and targeted immunotherapies for solid tumors.

Research Interest

Dr. Roudi’s research focuses on translational cancer therapeutics, nanoparticle-based drug delivery, immune-oncology, and pharmacokinetics. She is particularly interested in preclinical drug evaluation, molecular mechanisms of disease, and the development of novel therapeutic strategies for cancer and liver diseases. Her expertise extends to in vivo imaging (MRI, BLI), flow cytometry, recombinant protein expression, and computational biology.

Top Noted Publication

1. Immune-related adverse events associated with PD-1 and PD-L1 inhibitors for non-small cell lung cancer: A PRISMA systematic review

Authors: X Sun, R Roudi, T Dai, S Chen, B Fan, H Li, Y Zhou, M Zhou, B Zhu, C Yin, et al.
Journal: BMC Cancer
Publication Year: 2019
Citations: 151
Summary:

  • This systematic review assesses the immune-related adverse events (irAEs) caused by PD-1 and PD-L1 inhibitors in non-small cell lung cancer (NSCLC) treatment.
  • It follows PRISMA guidelines to analyze clinical trials and real-world studies, offering insights into the safety profile of checkpoint inhibitors.
  • The paper is widely cited due to its clinical relevance, guiding oncologists in managing irAEs in immunotherapy-treated patients.

2. Antimicrobial peptides as biologic and immunotherapeutic agents against cancer: A comprehensive overview

Authors: R Roudi, NL Syn, M Roudbary
Journal: Frontiers in Immunology
Publication Year: 2017
Citations: 145
Summary:

  • This paper explores the role of antimicrobial peptides (AMPs) in cancer therapy, emphasizing their immunomodulatory and anti-tumor properties.
  • It provides a detailed review of AMPs as potential biologic agents for immunotherapy, discussing their mechanisms of action, safety, and clinical applications.
  • Its high citation count reflects the growing interest in alternative immunotherapeutic approaches beyond checkpoint inhibitors.

3. Differential expression of cancer stem cell markers ALDH1 and CD133 in various lung cancer subtypes

Authors: R Roudi, A Korourian, A Shariftabrizi, Z Madjd
Journal: Cancer Investigation
Publication Year: 2015
Citations: 95
Summary:

  • Investigates the expression of ALDH1 and CD133, two key cancer stem cell markers, in different lung cancer subtypes.
  • Provides insights into the heterogeneity of lung cancer and its implications for targeted therapies.
  • This study is crucial for understanding cancer stem cell biology and developing novel therapeutic strategies.

4. Immunotherapy (excluding checkpoint inhibitors) for stage I to III NSCLC treated with surgery or radiotherapy with curative intent

Authors: J Zhu, Y Yuan, X Wan, D Yin, R Li, W Chen, C Suo, H Song, R Roudi
Journal: Cochrane Database of Systematic Reviews
Publication Year: 2021
Citations: 91
Summary:

  • Systematic review assessing non-checkpoint immunotherapies, including dendritic cell-based therapies, cytokines, and cancer vaccines, for early-stage NSCLC.
  • Highlights alternative immunotherapy approaches for patients ineligible for PD-1/PD-L1 inhibitors.
  • A valuable reference for developing personalized immunotherapy regimens in lung cancer treatment.

5. Anti-PD-1 versus anti-PD-L1 therapy in patients with pretreated advanced NSCLC: A meta-analysis

Authors: A Tartarone, G Roviello, R Lerose, R Roudi, M Aieta, P Zoppoli
Journal: Future Oncology
Publication Year: 2019
Citations: 83
Summary:

  • Compares the efficacy and safety of anti-PD-1 (e.g., pembrolizumab, nivolumab) vs. anti-PD-L1 (e.g., atezolizumab, durvalumab) therapies in pretreated NSCLC patients.
  • Concludes that PD-1 inhibitors may have superior efficacy, but PD-L1 inhibitors offer a better safety profile.
  • Provides clinical guidance for treatment selection in advanced lung cancer.

6. Dendritic cell/cytokine‐induced killer cell‐based immunotherapy in lung cancer: What we know and future landscape

Authors: M Mohsenzadegan, RW Peng, R Roudi
Journal: Journal of Cellular Physiology
Publication Year: 2020
Summary:

  • Discusses dendritic cell-based immunotherapy and cytokine-induced killer (CIK) cell therapy in lung cancer treatment.
  • Evaluates current clinical trials and preclinical studies, exploring their potential as alternative or combinatory immunotherapies.
  • Offers a comprehensive perspective on cell-based therapies in oncology.

Conclusion

Dr. Raheleh Roudi is a highly qualified researcher with outstanding contributions to cancer immunotherapy, nanoparticle-based drug delivery, and molecular medicine. Her publication record, interdisciplinary expertise, and global collaborations make her a strong contender for the Best Researcher Award. While increasing grant acquisition and clinical translation efforts could further elevate her impact, her extensive work in cancer biology and immunotherapy already demonstrates remarkable scientific excellence.

Somashekara Rajashekara | Molecular Biology | Best Researcher Award

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Dr. Somashekara Rajashekara | Molecular Biology | Best Researcher Award

Assistant Professor (Temporary) at Bangalore University, India

Dr. Somashekara Rajashekara is an accomplished ornithologist and biodiversity researcher with extensive teaching and research experience. His academic journey spans over two decades, with contributions to higher education and wildlife conservation. His expertise in avian biodiversity and ecological monitoring has played a vital role in conservation efforts. Through his research and mentorship, he continues to shape the next generation of zoologists and conservationists.

Publication Profile

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Educational Details

Dr. Somashekara Rajashekara holds a Ph.D. in Zoology from Bangalore University (2012), specializing in Ornithology with a focus on biodiversity, bio-ecology, and conservation. He earned an M.Phil. in Zoology from Periyar University (2006), where he studied research methodology, ornithology, and wildlife biology. His M.Sc. in Zoology from Bangalore University (2002) covered comparative and applied zoology, genetics, environmental biology, and related subjects. He completed his B.Sc. in Botany, Chemistry, and Zoology from Bangalore University (2000) and secured his S.S.L.C. from KSEEB, Karnataka (1995). Additionally, he cleared the Karnataka State Eligibility Test (KSET) in Life Sciences (2015) and pursued specialized training in bioinformatics at Peking University, China, and genetics education at the American Museum of Natural History, USA.

Professional Experience

With over a decade of experience in higher education and research, Dr. Rajashekara has served as a Guest Faculty at Bangalore University’s Centre for Applied Genetics since 2013, teaching M.Sc. students. He also taught integrated B.Sc.-M.Sc. students at the School of Natural Science from 2012 to 2016. His prior roles include teaching positions at the Department of Zoology, Bangalore University, and Government Science College, Bengaluru. As a research scholar, he contributed to multiple projects, including serving as a Research Field Assistant for a DST Project (WOS-B Scheme). He has been actively involved in mentoring postgraduate students and conducting research on avian biodiversity and ecosystem conservation.

Research Interest

Dr. Rajashekara’s research focuses on ornithology, bird biodiversity and conservation, bio-ecology, wildlife biology, environmental monitoring, and applied zoology. His work contributes to understanding avian ecology and developing conservation strategies for sustaining biodiversity.

Top Noted Publication

  • “Collagen as the Extracellular Matrix Biomaterials in the Arena of Medical Sciences”

    • Authors: R. Sowbhagya, H. Muktha, T.N. Ramakrishnaiah, K. Roopini, S. Rajashekara
    • Journal: Tissue and Cell, 2024
    • Citations: 5
    • Access: Open access

    Summary: This comprehensive review delves into the pivotal role of collagen as an extracellular matrix (ECM) biomaterial in medical applications. It emphasizes collagen’s structural and functional significance in tissue engineering and regenerative medicine. The article explores collagen’s applications in bone regeneration, wound healing, cardiovascular tissue engineering, and dentistry.

    pubmed.ncbi.nlm.nih.gov

  • “CRISPR/Cas-Mediated Genome Editing in Mice for the Development of Drug Delivery Mechanisms”

    • Authors: R. Sowbhagya, H. Muktha, T.N. Ramakrishnaiah, K. Nivitha, S. Rajashekara
    • Journal: Molecular Biology Reports, 2023
    • Citations: Data not specified
    • Access: Information not specified

    Summary: This review focuses on the utilization of CRISPR/Cas9 genome editing technology in mice to develop advanced drug delivery systems. It discusses the creation of precise animal models for human diseases, facilitating the study of therapeutic interventions and the optimization of drug delivery mechanisms.

Conclusion

Dr. Somashekara Rajashekara’s multidisciplinary expertise, research contributions, and academic leadership make him a strong candidate for the Best Researcher Award. His work bridges molecular biology, ornithology, genetics, and conservation, contributing significantly to scientific advancements. Further efforts in expanding collaborations, securing research funding, and increasing citations will enhance his profile as a leading researcher in his field.

Mitiku Badas Moisa | Remote sensing | Best researcher award

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Mr. Mitiku Badas Moisa | Remote sensing | Best researcher award

Lecturer at Wollega University, Ethiopia

Mitiku Badasa Moisa is a GIS and Remote Sensing specialist with extensive experience in academia, research, and scholarly publishing. His contributions to the field of geospatial sciences have been recognized through his editorial roles in leading scientific journals. His research emphasizes the application of GIS and Remote Sensing in environmental monitoring, land use planning, and climate resilience strategies.

Publication Profile

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Educational Details

Mitiku Badasa Moisa completed his primary education at Gunjo Primary School (Grade 1–8) and his secondary education at Sire Secondary School (Grade 9–10). He then pursued preparatory studies at Sire Preparatory School (Grade 11–12). He holds a B.Sc. in Geo-Information Science from Wollega University and an M.Sc. in Geographic Information System and Remote Sensing from Jimma University.

Professional Experience

Mitiku Badasa Moisa has over nine years of experience in teaching, research, and community service at Wollega University. His academic contributions extend beyond the classroom, as he serves in multiple editorial capacities. He is an Academic Editor for PLOS ONE and a board member of Global Open Share Publishing. Additionally, he is the Editor of the Global Journal of Earth Science and Engineering and serves on the editorial board of the BOHR International Journal of Civil Engineering and Environmental Science (BIJCEES). He is also a board reviewer for Acta Scientific Agriculture Journal, Geology, Geophysics, and Earth Science. Throughout his career, he has reviewed over 100 research papers for reputable international journals.

Research Interest

His research focuses on Geographic Information Systems (GIS), Remote Sensing, Environmental Sustainability, Drought Resilience, and Water Resource Management. His work integrates advanced geospatial technologies with traditional environmental management strategies to improve climate adaptation and disaster resilience.

Top Noted Publication

  • Impact of land-use and land-cover change on soil erosion using the RUSLE model and GIS: A case of Temeji watershed, Western Ethiopia

    • Journal of Water and Climate Change, 12(7), 3404-3420
    • 69 citations (2021)
    • Authors: MB Moisa, DA Negash, BB Merga, DO Gemeda

  • Analysis of urban expansion and land use/land cover changes using geospatial techniques: A case of Addis Ababa City, Ethiopia

    • Applied Geomatics, 13(4), 853-861
    • 47 citations (2021)
    • Authors: MB Moisa, DO Gemeda

  • Soil erosion risk assessment for prioritization of sub-watershed: The case of Chogo Watershed, Horo Guduru Wollega, Ethiopia

    • Environmental Earth Sciences, 80(17), 589
    • 46 citations (2021)
    • Authors: DA Negash, MB Moisa, BB Merga, F Sedeta, DO Gemeda

  • Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia

    • Artificial Intelligence in Agriculture, 6, 34-46
    • 42 citations (2022)
    • Authors: MB Moisa, FS Tiye, IN Dejene, DO Gemeda

  • Impacts of land use/land cover dynamics on land surface temperature using geospatial techniques in Anger River Sub-basin, Western Ethiopia

    • Environmental Earth Sciences, 81(3), 99
    • 38 citations (2022)
    • Authors: MB Moisa, IN Dejene, BB Merga, DO Gemeda

Conclusion

Mr. Mitiku Badasa Moisa is a strong candidate for the Best Researcher Award, given his consistent research contributions, academic leadership, and international editorial roles. His high citation impact, extensive peer-review work, and leadership in research projects demonstrate his dedication to advancing GIS and remote sensing applications for environmental sustainability.

While he has notable achievements, further expanding international collaborations, publishing in top-tier journals, and engaging in policy-oriented research would further elevate his standing. However, his current credentials make him a competitive nominee for the award.

Rana Abdelghani | Microwave Engineering | Best Researcher Award

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Dr. Rana Abdelghani | Microwave Engineering | Best Researcher Award

Rana Abdelghani at AIET, Egypt

Rana Abdelghani is an Electronics and Communication Engineering professional with expertise in AI-driven sensor technology, wireless communication, and data analysis. Currently serving as an Assistant Lecturer at the Alexandria Higher Institute of Engineering and Technology, she has extensive experience in teaching, research, and academic development. Her research focuses on nano-sensors, molecular imprinting, and advanced signal processing techniques. With multiple peer-reviewed publications, she actively contributes to advancements in sensor technology and smart wireless systems.

Publication Profile

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Educational Details

  • Ph.D. in Electronics and Communication Engineering (Ongoing)
  • Master’s in Electronics and Communication Engineering
  • Bachelor’s in Communication and Electronics Engineering, 2009–2014

Professional Experience

Rana Abdelghani is an Assistant Lecturer at the Alexandria Higher Institute of Engineering and Technology, where she has been teaching since 2019. She specializes in signal processing, artificial intelligence, optical electronics, optical communication, and microwave engineering. In her role, she has designed and delivered structured courses, assessed student performance, and played a key role in quality assurance and examination control. Prior to this position, she served as an Instructor at the same institute from January 2022 to August 2023, where she provided theoretical and practical guidance to university students and contributed to academic excellence.

Research Interest

Her research focuses on AI-driven sensor technology, wireless communication, data analysis, machine learning, and signal processing. She is particularly interested in nano-architectured gas sensors, molecular imprinting techniques, and the integration of smart sensing technologies for wireless applications.

Top Noted Publication

Title: Electrical Properties of Acetone Imprinted Hematite Nanomaterials Doped with Pd & Ag for Gas Sensing and Simulation of Their Wireless Devices

Authors:

  • R.M. Abdelghani, Rana M.
  • W. El-Shafai, Walid
  • I.G. Morsi, Iman Gamal
  • T.E.S. Taha, Taha El Sayed
  • A.E.H. Kashyout, Abd El Hady

Journal: Sensors and Actuators B: Chemical
Year: 2025

Conclusion

Dr. Rana Abdelghani is a strong candidate for the Best Researcher Award due to her expertise in AI-driven sensor technology, high-quality research output, and contributions to academia. While her publication impact and research collaborations can be further expanded, her work remains highly relevant and impactful. Strengthening her citation metrics, interdisciplinary collaborations, and international visibility will further solidify her position as a leading researcher in her field.

Kanchan Upadhyay | Phosphor materials | Best Paper Award

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Dr. Kanchan Upadhyay | Phosphor materials | Best Paper Award

Research Associate at Bhilai Institute of Technology, India

Dr. Kanchan Upadhyay is a distinguished researcher in analytical chemistry and material luminescence, currently serving as a DST-WOS-B Fellow at Bhilai Institute of Technology, Durg. With over 75 publications, three books, and an H-index of 18, her work has significantly contributed to spectrophotometric analysis and phosphor synthesis. A recipient of the Chhattisgarh Young Scientist Award (2015) and a former National Postdoctoral Fellow (DST-SERB, 2017–2019), she continues to advance research in nanoscience and applied physics.

Publication Profile

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Educational Details

Dr. Kanchan Upadhyay earned her Ph.D. in Chemistry from Pt. Ravishankar Shukla University, Raipur, in 2013, focusing on the “Development of Spectrophotometric Methods for Analysis of Pharmaceutical and Cosmetic Samples.” She holds an M.Sc. in Chemistry (2005) and a B.Sc. in Biology (2003) from Govt. V.Y.T. PG Autonomous College, Durg, affiliated with Pt. Ravishankar Shukla University. Additionally, she has pursued a B.Ed. degree.

Professional Experience

Dr. Upadhyay is currently a DST-WOS-B Fellow at the Department of Applied Physics, Bhilai Institute of Technology, Durg. She previously served as a Research Associate at the same institution and was a National Postdoctoral Fellow (NPDF) at the International & Inter University Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala (2017–2019). She has also worked as a Research Associate at Pt. Ravishankar Shukla University, Raipur. Throughout her career, she has collaborated with institutions such as Bhilai Institute of Technology, Pt. R.S.U. Raipur, and NIT Raipur.

Research Interest

Dr. Upadhyay’s research expertise spans analytical chemistry, synthesis, and luminescence properties of phosphors. She has made significant contributions to the development of novel spectrophotometric techniques and materials for pharmaceutical and cosmetic sample analysis. Her work extends to applied physics, particularly in nanoscience and material luminescence applications.

Author Metrics

  • Total Publications: 75
  • Book Chapters: 2
  • Books Authored: 3
  • H-Index: 18
  • Total Citations: 739

Top Noted Publication

ZnO Metal Oxide Nanoparticle as a Biological Tool

  • Authors: N. Khanna, Nitin; R.K. Tamrakar, Raunak Kumar; S. Tiwari, Samit; K. Upadhyay, Kanchan
  • Journal: Reviews in Inorganic Chemistry, 2024
  • Citations: 2
  • Summary: This review discusses the biomedical applications of zinc oxide (ZnO) nanoparticles, focusing on their antimicrobial, anticancer, and biosensing properties. The study highlights the advantages of ZnO nanoparticles in drug delivery and bioimaging due to their unique optical and electronic properties.

Surface Functionalized Nanoparticles: A Boon to Biomedical Science

  • Authors: K. Upadhyay, Kanchan; R.K. Tamrakar, Raunak Kumar; T.P. Sabu, Thomas P.; M.T. Kumar, Manish Thilek
  • Journal: Chemico-Biological Interactions, 2023
  • Citations: 17
  • Summary: This review explores the role of surface-modified nanoparticles in biomedical applications, including targeted drug delivery, cancer therapy, and biosensing. The paper emphasizes functionalization techniques to enhance the biocompatibility and efficiency of nanoparticles in medical applications.

Green Emitting Dysprosium-Activated SrY₂O₄ Phosphor for Tricolor White Light-Emitting Diode Application: Structural Analysis and Luminescence Behavior

  • Authors: K. Upadhyay, Kanchan; S. Thomas, Sabu; A. Tharayil, Abhimanyu; R.K. Tamrakar, Raunak Kumar
  • Journal: Chemical Papers, 2023
  • Citations: 2
  • Summary: This study investigates the synthesis and luminescence properties of Dy³⁺-activated SrY₂O₄ phosphor, highlighting its potential application in white LED technology. The work provides insights into the structural and optical characteristics that contribute to efficient green emission.

Design of RF Energy Harvester for 3.5 GHz

  • Authors: K. Upadhyay, Kanchan; M.R. Kumar, Manish Ranjith; A. Chaturvedi, Abhay
  • Conference: [No source information available]
  • Citations: 0
  • Summary: This paper presents a design for an RF energy harvester optimized for 3.5 GHz, demonstrating its potential in wireless energy transfer and IoT applications.

Recycling, Sustainability, Ecological, Economic, and Safety Aspects of Supercapacitors

  • Authors: A. Chakraborty, Abhishek; J. Gomes, Judith; S. Kumar, Sunil; K. Upadhyay, Kanchan; R.K. Tamrakar, Raunak Kumar
  • Source: [No source information available]
  • Citations: 0
  • Summary: This chapter discusses the sustainable manufacturing, recycling, and environmental impact of supercapacitors, with a focus on economic viability and safety considerations in energy storage technologies.

Mechanoluminescence for Infrastructure, Health, and Safety Applications

  • Authors: R.K. Tamrakar, Raunak Kumar; M.T. Kumar, Manish Thilek; K. Upadhyay, Kanchan
  • Source: [No source information available]
  • Citations: 0
  • Summary: This chapter explores the applications of mechanoluminescent materials in infrastructure, biomedical monitoring, and safety applications, highlighting their potential in stress detection and emergency signaling.

Conclusion

Dr. Kanchan Upadhyay is a strong candidate for the Best Paper Award due to her significant contributions to phosphor materials, nanoscience, and analytical chemistry. Her high publication record, interdisciplinary impact, and prior recognitions reinforce her eligibility. However, increasing high-impact publications and international collaborations could further enhance her profile for future research awards.

Ayasha Malik | AI | Best Researcher Award

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Ms. Ayasha Malik | AI | Best Researcher Award

Assistant Professor at GL Bajaj Institute of Management and Research, Greater Noida, India.

A committed educator and researcher, Dr. Ayasha Malik specializes in Machine Learning and Information Security. With her expertise in artificial intelligence applications, she has made significant contributions to both teaching and research. Over the years, she has mentored students, published research in esteemed journals, and collaborated on projects focusing on AI-based cybersecurity solutions.

Her work aims to bridge theoretical advancements with real-world applications, making significant strides in secure AI technologies and human-computer interaction models.

Publication Profile

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Educational Details

Dr. Ayasha Malik holds a Ph.D. in Machine Learning from the School of Computer Science and Engineering, Sharda University (2021). She completed her M.Tech. in Information Security (2019) at the Ambedkar Institute of Advanced Communication Technologies and Research, Guru Gobind Singh Indraprastha University (NSIT), securing a CGPA of 8.65. Her B.Tech. in Computer Science & Engineering (2017) was awarded by Raj Kumar Goel Institute of Technology and Management, APJ Abdul Kalam Technical University, Lucknow, with a 71.68% score.

Dr. Malik completed her HSC (2013) in the Science stream from P.C School (CBSE) with 62.20% and her SSC (2011) from P.C Institute (CBSE) with a CGPA of 8.2.

Professional Experience

Dr. Malik has a strong academic background with over four years of teaching and research experience in reputed institutions:

  • GL Bajaj Institute of Management and Research, AKTU – Assistant Professor (Feb 2025–Present)
  • IIMT College of Engineering, AKTU – Assistant Professor (August 2023–Feb 2025)
  • Delhi Technical Campus (DTC), GGSIPU – Assistant Professor (Sept 2022–Aug 2023)
  • Noida Institute of Engineering and Technology (NIET), AKTU – Assistant Professor (Jan 2021–Aug 2022)
  • IEC Group of Institutions (IECGI), AKTU – Assistant Professor (Aug 2019–Nov 2020)
  • INMANTEC Institute, AKTU – Assistant Professor (Jan 2019–July 2019)

Research Interest

Dr. Malik’s research focuses on Machine Learning, Artificial Intelligence, and Information Security, with an emphasis on:

  • Deep learning applications in cybersecurity
  • Speech and image recognition models
  • AI-driven data privacy solutions
  • Human-computer interaction in intelligent systems

She is particularly interested in developing machine learning algorithms for secure computing environments, aiming to integrate AI into cybersecurity frameworks to enhance digital protection.

Author Metrics

Dr. Malik has contributed to several international journal publications and conferences, particularly in speech emotion recognition, AI-based security systems, and machine learning for cybersecurity. Her research has been cited in prominent academic circles, reinforcing her impact in the fields of artificial intelligence and information security.

Top Noted Publication

Conference Paper: Harnessing Data Mining for Improved Hindi Isolated Speech Recognition

Authors: Ayasha Malik, Veena Parihar, Shrikant A. Mapari, Malathy Sathyamoorthy, Shilpa Saini
Publication Type: Conference Paper
Citations: 0
Abstract:
This research explores the application of data mining techniques to enhance Hindi isolated speech recognition. The study leverages machine learning models to improve accuracy and efficiency in recognizing isolated words in the Hindi language. The work focuses on feature extraction, classification, and the impact of data mining methodologies on speech processing. The findings contribute to the development of intelligent speech interfaces for Hindi language users in human-computer interaction systems.

Book Chapter: Harnessing the Power of Artificial Intelligence in Software Engineering for the Design and Optimization of Cyber-Physical Systems

Authors: Shubham Tiwari, Ayasha Malik
Publication Type: Book Chapter
Citations: Not available
Abstract:
This book chapter examines how Artificial Intelligence (AI) is revolutionizing software engineering in the design and optimization of Cyber-Physical Systems (CPS). The chapter highlights AI-driven methodologies, including machine learning, deep learning, and reinforcement learning, to enhance CPS performance and security. It discusses AI-based automation, fault detection, and predictive analytics, offering insights into next-generation smart systems that integrate computational intelligence with physical infrastructure.

Conclusion

Dr. Ayasha Malik is a highly qualified researcher with strong expertise in machine learning, AI security, and human-computer interaction. Her academic background, publications, and teaching contributions make her a strong candidate for the Best Researcher Award.

To further solidify her standing, she can increase citations, enhance industry collaborations, and gain more international research exposure. With these improvements, she could be a leading AI researcher in cybersecurity and intelligent systems.

Kishor Bhangale | Signal Processing | Best Researcher Award

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Dr. Kishor Bhangale | Signal Processing | Best Researcher Award

Assistant Professor at Pimpri Chinchwad College of Engineering and Research, Ravet, Pune

Dr. Kishor Barasu Bhangale is a dedicated academician and researcher with expertise in Speech Processing, VLSI Design, Embedded Systems, and Artificial Intelligence. With over a decade of experience in teaching and research, he has made significant contributions in the field of Data Structures, Object-Oriented Programming, and Deep Learning. Currently serving as an Assistant Professor and Research Coordinator at PCET’s PCCOER, Pune, Dr. Bhangale is committed to advancing research and fostering innovation in engineering education. His work is focused on signal processing, AI-driven speech recognition, and algorithm optimization.

Publication Profile

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Educational Details

  • Ph.D. in Speech Processing (2019–2024) – Vellore Institute of Technology (VIT), Chennai Campus, Tamil Nadu
    • Advisor: Dr. Mohanaprasad Kothandraman
  • ME in Electronics & Telecommunication (VLSI and Embedded System) (2012–2014) – Savitribai Phule Pune University (SPPU), Maharashtra
    • CGPA: 7.7/10
  • MBA (Pursuing) in Human Resources (2024 – Present) – Yashwantrao Chavan Maharashtra Open University, Nashik
  • BE in Electronics Engineering (2006–2010) – SSVPS’s College of Engineering, Dhule, North Maharashtra University
    • Marks: 77.00% (Gold Medalist)
  • HSC (12th Grade) (2005–2006) – Maharashtra State Board | Marks: 73.50%
  • SSC (10th Grade) (2003–2004) – Maharashtra State Board

Professional Experience

Dr. Bhangale has a strong academic background with over 13 years of teaching experience in leading engineering institutions. He has taught core subjects such as Data Structures and Algorithms, Object-Oriented Programming, VLSI Design, Database Management Systems, Deep Learning, and Control Systems.

  • Assistant Professor & Research Coordinator, PCET’s PCCOER, Pune (Jan 2021 – Present)
    • Serving as Research Coordinator (since June 2024)
    • Previously served as Research and PBL Coordinator (Feb 2022 – May 2023)
  • Assistant Professor, D. Y. Patil College of Engineering, Akurdi, Pune (Dec 2016 – Jan 2021)
  • Assistant Professor, SRTTC Technical Campus, Kamshet, Pune (June 2016 – Dec 2016)
  • Assistant Professor, Siddhant College of Engineering, Pune (Aug 2011 – May 2016)

Dr. Bhangale has actively contributed to academic research, mentoring students, and coordinating research activities in his institution. His leadership in Project-Based Learning (PBL) and research coordination has been instrumental in enhancing research output and technical innovation.

Research Interest

  • Speech Processing & AI-Based Voice Recognition
  • VLSI Design & Embedded Systems
  • Data Structures and Algorithm Optimization
  • Deep Learning Applications in Signal Processing

Author Metrics

Dr. Bhangale has published multiple research papers in international journals and conferences, particularly in the domains of speech processing, machine learning, and embedded systems. His research contributions focus on enhancing speech recognition accuracy through AI-driven models and optimizing VLSI architectures for high-performance computing.

  • Publications in Indexed Journals (Scopus, IEEE, Elsevier, Springer, etc.)
  • Citations: [To be updated]
  • h-Index: [To be updated]
  • i10-Index: [To be updated]

Top Noted Publication

  • Innovative Research Contribution

    • Dr. Kishor Barasu Bhangale has made a significant impact in Speech Emotion Recognition (SER), a crucial area for advancing Human-Computer Interaction (HCI).
    • His work contributes to AI-driven speech processing and has potential applications in virtual assistants, customer service AI, and mental health monitoring.

  • Publication in a Reputed Journal

    • The International Journal of Speech Technology is a well-recognized platform for publishing advancements in speech technology and AI-driven voice applications.
    • Being a co-author in this publication demonstrates his commitment to high-quality research and collaboration with international scholars.

  • Interdisciplinary Research Strength

    • His expertise in Speech Processing, Deep Learning, VLSI, and Embedded Systems positions him as a strong candidate for a Best Researcher Award, especially in the domain of AI and signal processing.

  • Consistent Research Output

    • Dr. Bhangale has a strong academic background with a Ph.D. in Speech Processing and years of teaching experience in core engineering subjects.
    • His research coordination role at PCET’s PCCOER highlights his active involvement in fostering research culture.

  • Potential for Real-World Applications

    • His research in Speech Emotion Recognition has potential applications in healthcare (mental health assessment), AI-based customer support, and smart human-machine interfaces.
    • The ability to develop emotion-aware AI systems makes this research highly relevant for the future of AI-human interaction.

Conclusion

Dr. Kishor Barasu Bhangale is a strong contender for a Best Researcher Award due to his notable research in Speech Emotion Recognition, interdisciplinary expertise, and impactful contributions to AI-driven HCI.

  • To further strengthen his candidacy, increasing citations, industry collaborations, and securing AI research grants would make him a leading researcher in speech processing and AI.
  • With continued advancements, he has the potential to be recognized as a key innovator in AI-powered speech technologies.

Faezeh Pasandideh | Wireless networks | Best Researcher Award

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Dr. Faezeh Pasandideh | Wireless networks | Best Researcher Award

Lecturer at Hamm lippstadt university of applied sciences, Germany

Dr. Faezeh Pasandideh is a computer scientist and researcher with expertise in wireless communication, AI-driven network optimization, and cloud computing. She holds a Ph.D. from UFRGS, Brazil, and HSHL, Germany, where she developed an energy-efficient UAV positioning mechanism for improved wireless connectivity. With over five years of experience in academia and research, she has contributed to various international projects in cloud computing, machine learning, and wireless sensor networks. Dr. Pasandideh has published research in high-impact journals and conferences, focusing on AI-driven optimization, network scalability, and energy-efficient wireless communication.

Publication Profile

Scopus 

Orcid

Google Scholar

Educational Details

Ph.D. in Computer Science

  • Universidade Federal do Rio Grande do Sul (UFRGS), Brazil & Hamm-Lippstadt University of Applied Sciences (HSHL), Germany (2020–2024)
  • Research Topic: Energy-efficient UAV BS positioning mechanism to improve wireless connectivity
  • Advisors: Prof. Dr. Edison Pignaton de Freitas (UFRGS), Prof. Dr.-Ing. João Paulo Javidi da Costa (HSHL)

M.Sc. in Computer Science

  • Islamic Azad University, Science and Research Branch, Iran (2012–2015)
  • Thesis: Congestion management scheme in wireless body area networks
  • Advisor: Prof. Dr. Abbas Ali Rezaei

B.Sc. in Computer Science

  • Quchan University of Technology, Iran (2008–2012)
  • Thesis: Design of a web application for session management
  • Advisor: Prof. Dr. Mohammad Rezaei Kaskaki

Professional Experience

Dr. Faezeh Pasandideh has extensive experience in academia and industry. She served as a Lecturer and Research Assistant at Hochschule Hamm-Lippstadt, Germany (2022–2024), where she taught electrical engineering, control engineering, and computer science courses, while supervising student projects, bachelor theses, and internships. Prior to that, she worked as a Research Assistant in Cloud Computing and Machine Learning at Dell Technologies in partnership with Unisinos, Brazil (2021–2022), where she contributed to projects such as database scaling, quality bot development, and quality dashboard implementation. She also gained experience as a Research Assistant at Nasim Telecom, Iran (2019–2020), and a Research and Teaching Assistant at Payam Noor University (PNU), Iran (2017–2019), where she taught various courses including databases, AI, software development, and algorithm design.

Research Interest

Dr. Pasandideh specializes in wireless sensor networks (WSNs), UAV-assisted communication, machine learning, cloud computing, and artificial intelligence-based network optimization. Her research focuses on energy-efficient UAV positioning for wireless networks, IoT-based sensor networks, AI-driven optimization algorithms, and congestion management in wireless body area networks (WBANs). She is also interested in database scalability, cybersecurity in cloud environments, and AI applications in network communication.

Author Metrics

Dr. Pasandideh has published multiple peer-reviewed articles in the fields of computer networks, machine learning, and cloud computing. Her research is indexed in Scopus, IEEE Xplore, and other academic databases, reflecting her contributions to wireless communication, AI-based optimization, and network scalability.

Top Noted Publication

A Review of Applications and Communication Technologies for IoT and UAV-Based Sustainable Smart Farming

  • Sustainability, 2021
  • Citations: 236

A Fuzzy Congestion Control Protocol Based on Active Queue Management in Wireless Sensor Networks with Medical Applications

  • Wireless Personal Communications, 2018
  • Citations: 120

IoT-Based Smart Farming: Are LPWAN Technologies Suitable for Remote Communication?

  • IEEE SmartIoT Conference, 2020
  • Citations: 75

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies

  • Remote Sensing, 2022
  • Citations: 58

Topology Management for Flying Ad Hoc Networks Based on Particle Swarm Optimization and Software-Defined Networking

  • Wireless Networks, 2022
  • Citations: 35

Conclusion

Dr. Faezeh Pasandideh is a highly suitable candidate for the Best Researcher Award, given her impactful contributions in wireless communication, AI-driven network optimization, and cloud computing. Her strong international collaborations, high-impact publications, and interdisciplinary research make her a standout researcher in her field. While expanding her leadership in large-scale research projects, publishing in top-tier journals, and increasing industry engagement could further solidify her reputation, she already demonstrates excellence and innovation in research.

Yasuhiro Ohara | Reproductive Medicine | Best Researcher Award

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Dr. Yasuhiro Ohara | Reproductive Medicine | Best Researcher Award

Medical Director at Reproduction Clinic Osaka, Japan

Dr. Yasuhiro Ohara is a distinguished reproductive medicine specialist with a strong background in obstetrics, gynecology, and assisted reproductive technology. As the Medical Director of Reproduction Clinic Osaka, he plays a key role in advancing fertility treatments and surgical interventions for reproductive health. His research in endometrial receptivity and personalized embryo transfer has contributed significantly to improving ART outcomes. Recognized for his academic excellence and clinical expertise, Dr. Ohara continues to shape the field of reproductive medicine through innovative research, publications, and global collaborations.

Publication Profile

Scopus 

Educational Details

Dr. Yasuhiro Ohara earned his Medical Doctor (M.D.) degree from Kobe University Medical School in March 2010. During his medical training, he participated in the Clinical Elective Program at the National University of Singapore in 2009.

Professional Experience

Dr. Ohara is a highly experienced reproductive medicine specialist with extensive clinical and surgical expertise in obstetrics, gynecology, and assisted reproductive technology. He currently serves as the Medical Director at Reproduction Clinic Osaka, a role he has held since January 2022. Previously, he was the Head Physician at Reproduction Clinic Tokyo (2019–2022) and the Department of Obstetrics and Gynecology at Teine Keijinkai Hospital (2017–2019). His prior experience includes fellowship training in reproductive endocrinology at Hokkaido University (2016–2017) and clinical fellowships at Hokkaido P.W.F.A.C, Obihiro-Kosei General Hospital (2014–2016), Asahikawa-Kosei General Hospital (2012–2014), and Hokkaido University (2012). He began his career as a medical intern at Okinawa Prefectural Nanbu Medical Center and Children’s Medical Center (2010–2012).

Research Interest

Dr. Ohara’s research focuses on reproductive medicine, assisted reproductive technology (ART), endometrial receptivity, hysteroscopic and laparoscopic surgery, and embryo transfer optimization. His work explores the effects of surgical interventions on ART outcomes and advancements in personalized embryo transfer techniques based on endometrial receptivity tests.

Awards and Recognition:

Dr. Ohara has received multiple accolades for his contributions to reproductive medicine, including:

  • Award for Excellent Presentation, The 64th Annual Meeting of the Northern Japan Society of Obstetrics and Gynecology (2017)
  • Top Cited Article, Reproductive Medicine and Biology (2023)
  • Top Downloaded Article, Reproductive Medicine and Biology (2024)

Top Noted Publication

Title: Investigating Dosage Effects of Ovulation Inhibitors on Oocyte Maturation in Assisted Reproductive Technology: A Retrospective Study Among Patients With Normal Ovarian Reserve

Authors:

  • Mika Handa (M.)
  • Tsuyoshi Takiuchi (T.)
  • Sumika Kawaguchi (S.)
  • Tetsuhisa Kitamura (T.)
  • Tadashi K. Kimura (T.K.)

Journal: PLoS ONE

Publication Year: 2025

Conclusion:

Dr. Yasuhiro Ohara is a highly accomplished researcher and clinician in reproductive medicine, with significant contributions to ART, endometrial receptivity, and personalized embryo transfer. His leadership, impactful publications, and conference presentations make him a strong candidate for the Best Researcher Award in Reproductive Medicine. To further strengthen his profile, expanding collaborative research efforts, targeting high-impact journals, and securing additional research funding would enhance his academic influence.

Arti Singh | Machine learning | Best Researcher Award

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Mrs. Arti Singh | Machine learning | Best Researcher Award

Assistant Professor at DYPIEMR, India

Mrs. Arti Singh is an accomplished academician and researcher with a robust background in Computer Science, Artificial Intelligence, and Data Science. She is currently serving as an Assistant Professor at Dr. D Y Patil Institute of Engineering Management and Research. With a passion for teaching and research, her expertise lies in machine learning, sentiment analysis, data science, and computational intelligence. Mrs. Singh has presented and published several research papers at national and international conferences. She is committed to continuous learning, having completed various industry-relevant certifications and training programs.

Publication Profile

Google Scholar

Educational Details

  • M.Tech in Computer Technology and Applications from National Institute of Technical Teachers’ Training and Research (RGPV, Bhopal) – 2016 (CGPA: 8.69)
  • B.E. in Computer Science Engineering from Sagar Institute of Research Technology and Science (RGPV, Bhopal) – 2014 (CGPA: 8.35)

Professional Experience

  • Assistant Professor in the Department of Artificial Intelligence and Data Science at Dr. D Y Patil Institute of Engineering Management and Research since July 1, 2022.
  • Lecturer in the Computer Department at Marathwada Mitra Mandal Polytechnic College.
  • Assistant Professor at Sri Sai Shail Manglam College, Singrauli (June 1, 2019, to June 30, 2021).
  • Resource Person for the B.C.A Vocational course at Babasaheb Bhimrao Ambedkar Bihar University, Muzaffarpur (May 30, 2017, to May 27, 2019).

Research Interest

  • Data Science
  • Machine Learning
  • Software Engineering
  • Operating Systems
  • Quantum Artificial Intelligence
  • Pattern Recognition
  • Computational Intelligence

Top Noted Publication

An Opinion Mining for Indian Premier League Using Machine Learning Techniques

  • Authors: KP Dubey, S Agrawal
  • Conference: 2019 4th International Conference on Internet of Things: Smart Innovation, Usage, and Application
  • Pages: 25
  • Year: 2019
  • Summary: This paper presents a sentiment analysis model for social media data related to the Indian Premier League (IPL). The authors employed machine learning techniques to classify public opinions, enabling better understanding of audience engagement and predicting trends in sports sentiment.

Comparing Classification and Regression Tree and Support Vector Machine for Analyzing Sentiments for IPL

  • Author: Arti Singh
  • Journal: International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC)
  • Volume: 4
  • Issue: 6
  • Pages: 172-175
  • Year: 2016
  • ISSN: 2321-8169
  • Summary: This study compares the performance of two machine learning algorithms, Classification and Regression Tree (CART) and Support Vector Machine (SVM), for sentiment analysis on IPL data. The research evaluates the accuracy and effectiveness of both approaches for sports sentiment analysis.

AI Application in Production

  • Author: Arti Singh
  • Publisher: Taylor & Francis
  • Book Title: Industry 4.0: Enabling Technologies and Applications
  • Chapter: AI Application in Production
  • Year: 2024
  • URL: Link to book
  • Summary: This book chapter explores the integration of Artificial Intelligence (AI) in manufacturing and production processes. It highlights AI-driven innovations, predictive maintenance, process optimization, and intelligent automation in modern industrial setups.

Automated Invoice Data Extraction: Advancements and Challenges in OCR-Based Approaches

  • Authors: Arti Singh, Sneha Kanwade, Siddhant Shendge, Amoksh Layane, Kohsheen Tikoo
  • Journal: International Journal of Scientific Research in Engineering and Management (IJSREM)
  • Volume: 8
  • Pages: 1-6
  • ISSN: 2582-3930
  • Year: 2024
  • Summary: This paper addresses the growing need for automated invoice data extraction using Optical Character Recognition (OCR) technologies. It discusses the latest advancements, the challenges faced, and potential solutions to enhance accuracy in invoice processing systems.

An In-Depth Analysis of Sentiment Polarity Using Various Machine Learning Algorithms

  • Author: Arti Singh
  • Conference: 8th International Conference on ISDIA 2024
  • Volume: 1107
  • Pages: 157–167
  • Year: 2024
  • Summary: This research investigates the effectiveness of different machine learning algorithms for sentiment polarity detection. The study evaluates models such as SVM, Random Forest, and Extremely Randomized Trees to improve sentiment classification accuracy in social media data.

Comparative Study of Machine Learning Algorithms for Sentiment Polarity

  • Author: Arti Singh
  • Conference: IRF International Conference
  • Pages: 1-5
  • Year: 2017
  • Summary: The paper compares several machine learning techniques, including Naive Bayes, Decision Trees, and SVM, for sentiment polarity classification. It emphasizes the importance of selecting the appropriate algorithm for accurate sentiment detection in online text data.

Conclusion:

Mrs. Arti Singh is a strong candidate for the Best Researcher Award, given her consistent research output in machine learning and applied AI domains, industry-relevant research contributions, and dedication to academic excellence. Her work bridges the gap between theory and practice, making her a valuable contributor to the field of computational intelligence and Industry 4.0 applications.

With increased focus on high-impact journals, research funding, and industry collaborations, she has the potential to emerge as a leading figure in her field. Therefore, she is highly deserving of recognition through the Best Researcher Award.